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arXiv 2023年

作者： Graham, Simon Vu, Quoc Dang Jahanifar, Mostafa Weigert, Martin Schmidt, Uwe Zhang, Wenhua Zhang, Jun Yang, Sen Xiang, Jinxi Wang, Xiyue Rumberger, Josef Lorenz Baumann, Elias Hirsch, Peter Liu, Lihao Hong, Chenyang Aviles-Rivero, Angelica I. Jain, Ayushi Ahn, Heeyoung Hong, Yiyu Azzuni, Hussam Xu, Min Yaqub, Mohammad Blache, Marie-Claire Piégu, Benoît Vernay, Bertrand Scherr, Tim Böhland, Moritz Löffler, Katharina Li, Jiachen Ying, Weiqin Wang, Chixin Snead, David Raza, Shan E. Ahmed Minhas, Fayyaz Rajpoot, Nasir M. Tissue Image Analytics Centre University of Warwick Coventry United Kingdom Histofy Ltd Birmingham United Kingdom Institute of Bioengineering School of Life Sciences Epfl Lausanne Switzerland Dresden Germany The Department of Computer Science The University of Hong Kong Hong Kong Tencent Ai Lab Shenzhen China College of Biomedical Engineering Sichuan University Chengdu China Department of Precision Instruments Tsinghua University Beijing China College of Computer Science Sichuan University Chengdu China Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association Berlin Germany Humboldt University of Berlin Faculty of Mathematics and Natural Sciences Berlin Germany Charité University Medicine Berlin Germany University of Bern Bern Switzerland Department of Applied Mathematics and Theoretical Physics University of Cambridge United Kingdom Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Softsensor.ai BridgewaterNJ United States PRR.ai TX United States Department of R&d Center Arontier Co. Ltd Seoul Korea Republic of Computer Vision Department Mohamed Bin Zayed University of Artificial Intelligence Abu Dhabi United Arab Emirates Cnrs Ifce Inrae Université de Tours Prc Nouzilly3780 France Institut de Génétique et de Biologie Moléculaire et Cellulaire Illkirch France Centre National de la Recherche Scientifique UMR7104 Illkirch France Institut National de la Santé et de la Recherche Médicale Inserm U1258 Illkirch France Université de Strasbourg Strasbourg France Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen Germany School of Software Engineering South China University of Technology Guangzhou China Department of Pathology University Hospitals Coventry Warwickshire Nhs Trust Coventry United Kingdom Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry United Kingdom

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest available dataset of its kind to assess nuclear segmentation and cellular composition. Our challenge, named CoNIC, stimulated the development of reproducible algorithms for cellular recognition with real-time result inspection on public leaderboards. We conducted an extensive post-challenge analysis based on the top-performing models using 1,658 whole-slide images of colon tissue. With around 700 million detected nuclei per model, associated features were used for dysplasia grading and survival analysis, where we demonstrated that the challenge's improvement over the previous state-of-the-art led to significant boosts in downstream performance. Our findings also suggest that eosinophils and neutrophils play an important role in the tumour microevironment. We release challenge models and WSI-level results to foster the development of further methods for biomarker discovery. © 2023, CC BY-NC-SA.

关键词： Grading

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Metrics Reloaded: Recommendations for image analysis validation

arXiv

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arXiv 2022年

作者： Maier-Hein, Lena Reinke, Annika Godau, Patrick Tizabi, Minu D. Buettner, Florian Christodoulou, Evangelia Glocker, Ben Isensee, Fabian Kleesiek, Jens Kozubek, Michal Reyes, Mauricio Riegler, Michael A. Wiesenfarth, Manuel Emre Kavur, A. Sudre, Carole H. Baumgartner, Michael Eisenmann, Matthias Heckmann-Nötzel, Doreen Rädsch, Tim Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Benis, Arriel Blaschko, Matthew B. Jorge Cardoso, M. Cheplygina, Veronika Cimini, Beth A. Collins, Gary S. Farahani, Keyvan Ferrer, Luciana Galdran, Adrian Ginneken, Bram Van Haase, Robert Hashimoto, Daniel A. Hoffman, Michael M. Huisman, Merel Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kenngott, Hannes Kofler, Florian Kopp-Schneider, Annette Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Petersen, Jens Rajpoot, Nasir Rieke, Nicola Saez-Rodriguez, Julio Sánchez, Clara I. Shetty, Shravya Smeden, Maarten Van Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. Calster, Ben Van Varoquaux, Gaël Jäger, Paul F. Heidelberg Division of Intelligent Medical Systems and HI Helmholtz Imaging Germany Faculty of Mathematics and Computer Science and Medical Faculty Heidelberg University Heidelberg Germany NCT Heidelberg a partnership between DKFZ University Medical Center Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Intelligent Medical Systems Germany partner site Frankfurt/Mainz a partnership between DKFZ and UCT Frankfurt-Marburg Germany Heidelberg Goethe University Frankfurt Germany Department of Medicine Goethe University Frankfurt Germany Department of Informatics Frankfurt Cancer Insititute Germany Department of Computing Imperial College London London United Kingdom Heidelberg Division of Medical Image Computing and HI Applied Computer Vision Lab Germany Institute for AI in Medicine University Medicine Essen Essen Germany Centre for Biomedical Image Analysis Faculty of Informatics Masaryk University Brno Czech Republic ARTORG Center for Biomedical Engineering Research University of Bern Bern Switzerland Department of Radiation Oncology University Hospital Bern University of Bern Bern Switzerland Simula Metropolitan Center for Digital Engineering Oslo Norway UiT The Arctic University of Norway Romsø Norway Heidelberg Division of Biostatistics Germany Heidelberg Division of Intelligent Medical Systems Division of Medical Image Computing HI Applied Computer Vision Lab Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Heidelberg Division of Medical Image Computing Germany Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montréal

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus failing to adequately measure scientific progress and hindering translation of ML techniques into practice. To overcome this, we created Metrics Reloaded, a comprehensive framework guiding researchers in the problem-aware selection of metrics. It was developed by a large international consortium in a multi-stage Delphi process and is based on the novel concept of a problem fingerprint – a structured representation of the given problem that captures all aspects that are relevant for metric selection, from the domain interest to the properties of the target structure(s), data set and algorithm output. Based on the problem fingerprint, users are guided through the process of choosing and applying appropriate validation metrics while being made aware of potential pitfalls. Metrics Reloaded targets image analysis problems that can be interpreted as a classification task at image, object or pixel level, namely image-level classification, object detection, semantic segmentation, and instance segmentation tasks. To improve the user experience, we implemented the framework in the Metrics Reloaded online tool. Following the convergence of ML methodology across application domains, Metrics Reloaded fosters the convergence of validation methodology. Its applicability is demonstrated for various biomedical use cases. © 2022, CC BY.

关键词： Semantic Segmentation

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Preface

Lecture Notes on Data Engineering and Communications Technol...

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Lecture Notes on Data engineering and Communications Technologies 2021年 62卷 ix-x页

作者： Balas, Valentina E. Hassanien, Aboul Ella Chakrabarti, Satyajit Mandal, Lopa Department of Automation and Applied Informatics and Department of International Relations Programs and Projects Intelligent Systems Research Centre Aurel Vlaicu University of Arad Arad Romania Department of Information Technology Faculty of Computer and Artificial Intelligence Cairo University Giza Egypt Institute of Engineering and Management Kolkata West Bengal India Department of Information Technology Institute of Engineering and Management Kolkata West Bengal India

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2020年 1049卷 xiii页

作者： Jain, Lakhmi C. Balas, Valentina E. Tsihrintzis, George A. Sharma, Dilip Kumar Faculty of Engineering and IT University of Technology Sydney Broadway NSW Australia Department of Automation and Applied Informatics "Aurel Vlaicu" University of Arad Arad Romania Department of Informatics University of Piraeus Piraeus Greece Department of Computer Engineering and Applications Institute of Engineering and Technology GLA University Mathura India

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Prospects for the use of wireless reading of prosthetic control signals and methods for generating commands

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IOP Conference Series: Materials Science and engineering 2021年第1期1019卷

作者： D Malakhov V Zhmud V Avrmachuk D Gryaznov J Nosek L Dimitrov Department of Automation Novosibirsk State Technical University Novosibirsk Russia Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Department of Mechatronics and Computer Engineering (MTI) Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Vice rector Technical University of Sofia Sofia Bulgaria

The paper provides a rationale for the use of low-power wireless communication to create non-invasive bionic limb prostheses. The need for such a connection is dictated, on the one hand, by the expediency of using sensors located in various parts of the body, often very remote from each other, on the other hand, by the desire to free the disabled person's body from the wires that would envelop it like a spider web. For each of these positions, arguments are given.

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Prospects for the development of functional expansion of individual low-cost prosthetic limbs for people with disabilities with intelligent sensors

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IOP Conference Series: Materials Science and engineering 2021年第1期1019卷

作者： D Gryaznov V Zhmud V Avrmachuk D Malakhov J Nosek L Dimitrov Department of Automation Novosibirsk State Technical University Novosibirsk Russia Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Department of Mechatronics and Computer Engineering (MTI) Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Vice rector of Technical University of Sofia Sofia Bulgaria

Despite the development of medicine, as well as robotics aimed at helping people with disabilities, most disabled people with missing limbs cannot hope for a full life with the help of bionic prostheses, since these products are made strictly individually, and their control requires expensive surgeries to implant sensors. In addition, such prostheses themselves are very expensive. An alternative solution is to reduce the cost of such prostheses as much as possible and abandon the implantable sensors of signals of the human nervous system. The paper proposes a method for solving such a problem using a variety of sensors that remove signals from the skin surface without invasive surgery.

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Admittance spectroscopy of organic and metal-organic complexes 21

Admittance spectroscopy of organic and metal-organic complex...

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21st International Conference on Transparent Optical Networks, ICTON 2019

作者： Korcala, Andrzej Plóciennik, Przemyslaw Lougdali, Meriem Anoua, Rania Department of Automation and Measurement Systems Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Grudziadzka 5 TorunPL 87-100 Poland Centre for Modern Interdisciplinary Technologies Nicolaus Copernicus University Wilenska 4 TorunPL 87-100 Poland Laboratory of Physics of Condensed Matter and Renewable Energy Faculty of Sciences and Technology Hassan II University of Casablanca B.P 146 Mohammedia Morocco Laboratory of Engineering Sciences for Energy National School of Applied Sciences Chouaib Doukkali University El Jadida Morocco

ISBN: (纸本)9781728127798

Quinoline is the basic representative of heteroaromatic compounds. Its derivatives are found in natural products. Because of their biological activity, they have found wide application in the pharmaceutical industry, agriculture and complexometric chemical analysis. Quinoline is also used in the construction of electronic components. The possibility of modifying molecular structure in relation to the function fulfilled in the element gives main benefits of using organic and metal-organic compounds in electronics. Presented work contains investigation results of electrical properties for Alq3, CuPc, CoPc, Mnq2 and Niq2 thin films. Quinolines were prepared using PVD (physical vapour deposition) technique. Resistance and capacitance of thin films were examined using admittance spectroscopy (AS). © 2019 IEEE.

关键词： Organometallics

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Electrical bioimpedance spectroscopy as a tool for non-destructive monitoring nitrogen supply in two lettuce genotypes

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Scientia Horticulturae 2025年 349卷

作者： Flórián Kovács Ákos Odry Zoltán Vizvári Anita Szegő Haimei Chen Enikő Papdi Ingrid Melinda Gyalai Ágnes Kun Péter Odry Katalin Juhos Department of Agro-Environmental Studies Hungarian University of Agriculture and Life Sciences Villányi str. 29-43 Budapest H-1118 Hungary Faculty of Agriculture Institute of Plant Sciences and Environmental Protection University of Szeged Hódmezővásárhely 6800 Hungary Department of Mechatronics and Automation Faculty of Engineering University of Szeged Moszkvai krt. 9 Szeged 6725 Hungary Department of Control Engineering and Information Technology University of Dunaújváros Táncsics Mihály u. 1 Dunaújváros 2400 Hungary John Von Neumann Faculty of Informatics Biomatics and Applied Artificial Intelligence Institute Óbuda University Bécsi str. 96 Budapest H-1034 Hungary Bioimpedance Technologies Research Center University Research and Innovation Center Óbuda University Bécsi str. 96 Budapest H-1034 Hungary Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group Szentagothai Research Centre University of Pecs Ifjusag str. 20 Pecs H-7624 Hungary Department of Plant Physiology and Plant Ecology Institute of Agronomy Hungarian University of Agriculture and Life Sciences Ménesi Str. 44 Budapest H-1118 Hungary Department of Floriculture and Dendrology Urban Planning and Garden Art Institute of Landscapes Architecture Hungarian University of Agriculture and Life Sciences Villányi ut 29-43 Budapest 1118 Hungary Research Center for Irrigation and Water Management Institute of Environmental Sciences Hungarian University of Agriculture and Life Sciences Anna-Liget str. 35. Szarvas H-5540 Hungary

Accurate monitoring of nutrient supply is crucial for effective plant nutrition management. This study introduces a bioimpedance spectroscopy (BIS) approach to evaluate how lettuce genotypes respond to nitrogen (N) supply, illuminating the link between BIS and N metabolism. The research consisted of two parts: a preliminary experiment focusing on extracellular fluid resistance, followed by a second experiment involving five different N treatments applied to two lettuce genotypes. BIS spectra were recorded from 1 Hz to 100 kHz, with a total of 224 measurements. Plant physiological analyses assessed total and extracellular fluid nitrate (NO 3 − ) concentrations, pigment concentration, total N content, and cell membrane stability index. In the preliminary experiment, a significant negative correlation was observed between extracellular fluid NO 3 − concentration and extracellular fluid resistance (r = – 0.67). Furthermore, the frequency range around 63 Hz (R 2 = 0.97) appeared most sensitive to NO 3 − dynamics in the ‘Kobak’ lettuce genotype. In the two lettuce genotypes exposed to the five different N treatments, extracellular fluid resistance negatively correlated with total N and NO 3 − content ( r = – 0.76 and – 0.73), while vacuole fluid resistance showed a moderate correlation ( r = – 0.51). Cell membrane capacitance was also significantly correlated with membrane stability index ( r = 0.68), indicating that low-N conditions reduce membrane charge storage. However, these correlations appeared highly genotype dependent. Heatmap-based hierarchical clustering of Z-score standardized BIS parameters further confirmed these genotype-specific patterns. Collectively, these findings suggest that BIS captures key aspects of N uptake and storage, particularly in the extracellular fluid compartment. Overall, BIS offers a robust, non-destructive method for monitoring N status and may enhance precision in nutrient management for lettuce and other crops, although the genotype-s

关键词： Extracellular fluid resistance Vacuole fluid resistance Cell membrane capacitance Nitrogen uptake

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A comparative study above two self-tuning controllers with aplication to the control of synchronous generator excitation system

arXiv

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arXiv 2018年

作者： Filip, Ioan Curiac, Daniel Prostean, Octavian Szeidert, Iosif "Politehnica" University of Timisoara Faculty of Control Engineering and Computer Sciences Department of Automation and Industrial Informatics

This paper presents two self-tuning control structures synthesized through the minimization of two criterion functions. It is described the computation methodology of the control laws, both being particularized for the case of the synchronous generator's excitation control. The parameters estimator is considered the recursive least square error (RLSE) algorithm. In order to validate the considered control structures, two comparative study cases by computer simulation are presented. Copyright © 2018, The Authors. All rights reserved.

关键词： Adaptive control systems

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Path tracking algorithms for non-convex waiter motion problem

Periodica polytechnica Electrical engineering and computer s...

引用

Periodica polytechnica Electrical engineering and computer science 2018年第1期62卷 16-23页

作者： Nagy, Ákos Csorvási, Gábor Vajk, István Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics P.O.B. 91 BudapestH-1521 Hungary

Originally, motion planning was concerned with problems such as how to move an object from a start to a goal position without hitting anything. Later, it has extended with complications such as kinematics, dynamics, uncertainties, and also with some optimality purpose such as minimum-time, minimum-energy planning. The paper presents a time-optimal approach for robotic manipulators. A special area of motion planning is the waiter motion problem, in which a tablet is moved from one place to another as fastas possible, avoiding the slip of the object that is placed upon it. The presented method uses the direct transcription approach for the waiter problem, which means a optimization problem is formed in order to obtain a time-optimal control for the robot. Problem formulation is extended with a non-convex jerk constraints to avoid unwanted oscillations during the motion. The possible local and global solver approaches for the presented formulation are discussed, and the waiter motion problem is validated by real-life experimental results with a 6-DoF robotic arm. © 2018 Budapest University of Technology and Economics. All Rights Reserved.

关键词： Convex optimization

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