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Tumor Cellularity Assessment Using Artificial Intelligence Trained on Immunohistochemistry-Restained Slides Improves Selection of Lung Adenocarcinoma Samples for Molecular Testing

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American Journal of Pathology 2025年第5期195卷 907-922页

作者： Gertych, Arkadiusz Zurek, Natalia Piaseczna, Natalia Szkaradnik, Kamil Cui, Yujie Zhang, Yi Nurzynska, Karolina Pyciński, Bartłomiej Paul, Piotr Bartczak, Artur Chmielik, Ewa Walts, Ann E. Faculty of Biomedical Engineering Silesian University of Technology Zabrze Poland Department of Pathology and Laboratory Medicine Cedars-Sinai Medical Center Los Angeles California United States Department of Surgery Cedars-Sinai Medical Center Los Angeles California United States F. Widjaja Inflammatory Bowel Disease Institute Cedars-Sinai Medical Center Los Angeles California United States Biostatistics Shared Resource Cedars-Sinai Medical Center Los Angeles California United States Biobank and Research Pathology Resource Cedars-Sinai Medical Center Los Angeles California United States Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Tumor Pathology Department Maria Sklodowska-Curie National Research Institute of Oncology Gliwice Branch Gliwice Poland Hospital for Lung Diseases “Rebirth ” Zakopane Poland

Tumor cellularity (TC) in lung adenocarcinoma slides submitted for molecular testing is important in identifying actionable mutations, but lack of best practice guidelines results in high interobserver variability in TC assessments. An artificial intelligence (AI)–based pipeline developed to assess TC in hematoxylin and eosin (H&E) whole slide images (WSIs) and in tumor areas (TAs) within WSIs includes a new model (CaBeSt-Net) trained to mask cancer cells, benign epithelial cells, stroma in H&E WSIs using immunohistochemistry-restained slides, and a model to detect all cell nuclei. High masking accuracy (>91%) by CaBeSt-Net computed using 1024 H&E regions of interest and intraclass correlation coefficient >0.97 assessing TC assessments reliability by one pathologist and AI in 20 test regions of interest supported the pipeline's applicability to TC assessment in 50 study H&E WSIs. Using the pipeline, TCs assessed in TAs and WSIs were compared with those by three pathologists. Reliabilities of these ratings by the pathologists supported by the pipeline were good (intraclass correlation coefficient >0.82, P < 0.0001). The consistency of sample categorizations as inadequate or adequate (TC ≤ 20% cut point) for molecular testing among the pathologists assessing TCs without AI support was moderate in TAs (κ = 0.410, P < 0.0001) and slight in WSIs (κ = 0.132, nonsignificant). With AI support, the consistency was substantial in both WSIs (κ = 0.602, P < 0.0001) and TAs (κ = 0.704, P < 0.0001). By visualizing cancer and measuring TC in the sample, this novel AI-based pipeline assists pathologists in selecting samples for molecular testing. © 2025 American Society for Investigative Pathology

关键词： artificial intelligence computational pathology immunohistochemical staining lung adenocarcinoma restained slides tumor burden tumor cellularity assessment

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An Improved Relay-based Identification Approach based on Asymmetric Oscillations

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IFAC-PapersOnLine 2018年第4期51卷 468-473页

作者： Sánchez, J. Guinado, M. Dormido, S. Visioli, A. Department of Computer Science and Automatic Control UNED Spain Department of Mechanical and Industrial Engineering University of Brescia Italy

A new identification procedure has been developed based on the information obtained from the oscillations that a non-linear element as a simple relay introduces in the feedback loop. Features of the method are: (1) the procedure does not demand a priori process information, (b) non-iterative algorithms are needed to derive the process parameters, (c) only one test is needed, and (d) it allows identifying the process at a user-specified phase lag in the third quadrant. © 2018

关键词： Iterative methods Describing functions Estimation Asymmetric oscillations Identification approach Identification procedure Limit cycle Non iterative algorithms oscillations Process information relay

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The Intelligent Systems of Skin Thickness in Measured by Optical Coherence Tomography

The Intelligent Systems of Skin Thickness in Measured by Opt...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Ardha Ardea Prisilla Mariya Nissar Gilang Titah Ramadhan Wei-Cheng Shen Hsu-Tang Cheng Ben-Yi Liau Yih-Kuen Jan Wen-Hung Chao Chih-Yang Lin Chi-Wen Lung Department of Digital Media Design Asia University Taichung Taiwan Department of Fashion Design LaSalle College Jakarta Jakarta Indonesia Department of Applied Science and Humanities Jamia Millia Islamia New Delhi India Department of Computer Science and Information Engineering Asia University Taichung Taiwan Department of Creative Product Design Asia University Taichung Taiwan Division of Plastic Surgery Asia University Hospital Taichung Taiwan Department of Automatic Control Engineering Feng Chia Asia University Taichung Taiwan Department of Kinesiology and Community Health University of Illinois Urbana USA Department of Mechanical Engineering National Central University Taoyuan Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This study investigates the intelligent systems to evaluate walking interventions on skin thickness using Optical Coherence Tomography (OCT). The walking durations of 10 and 20 min were conducted with participants wearing insoles providing 160 mmHg air pressure. Skin thickness in the stratum corneum (SC) and epidermis (ED) was measured at four-foot regions: the big toe (T1), first metatarsal (M1), second metatarsal (M2), and heel (HL). Results revealed a significant decrease in SC at HL after 20 min of walking. This finding suggests that prolonged walking with air-pressure insoles may reduce mechanical stress at HL and could contribute to preventing and managing diabetic foot ulcers.

关键词： Legged locomotion Optical coherence tomography Optical variables measurement Particle measurements Epidermis Intelligent systems Stress Thickness measurement Stress measurement Foot

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Environment-Driven Online LiDAR-Camera Extrinsic Calibration

arXiv

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arXiv 2025年

作者： Huang, Zhiwei Li, Jiaqi Zhong, Ping Fan, Rui The Department of Control Science & Engineering The College of Electronics & Information Engineering Tongji University Shanghai201804 China The School of Computer Science and Engineering Central South University Hunan Changsha410083 China The National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Hunan Changsha410073 China The Department of Control Science & Engineering The College of Electronics & Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems The State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Shaanxi Xi’an710049 China

LiDAR-camera extrinsic calibration (LCEC) is the core for data fusion in computer vision. Existing methods typically rely on customized calibration targets or fixed scene types, lacking the flexibility to handle variations in sensor data and environmental contexts. This paper introduces EdO-LCEC, the first environment-driven, online calibration approach that achieves human-like adaptability. Inspired by the human perceptual system, EdO-LCEC incorporates a generalizable scene discriminator to actively interpret environmental conditions, creating multiple virtual cameras that capture detailed spatial and textural information. To overcome cross-modal feature matching challenges between LiDAR and camera, we propose dual-path correspondence matching (DPCM), which leverages both structural and textural consistency to achieve reliable 3D-2D correspondences. Our approach formulates the calibration process as a spatial-temporal joint optimization problem, utilizing global constraints from multiple views and scenes to improve accuracy, particularly in sparse or partially overlapping sensor views. Extensive experiments on real-world datasets demonstrate that EdO-LCEC achieves state-of-the-art performance, providing reliable and precise calibration across diverse, challenging environments. Copyright © 2025, The Authors. All rights reserved.

关键词： Spatio-temporal data

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Low cost air invitation remote lab 4

Low cost air invitation remote lab

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4th Experiment at International Conference, exp.at 2017

作者： Sáenz, Jacobo Chacón, Jesús De La Torre, Luis Dormido, Sebastián Department of Computer Science and Automatic Control Computer Science School UNED Spain

ISBN: (纸本)9781538608104

Online experimentation have become a common resource in education since the virtual and remote labs (VRLs) allowed the users to interact with a system without been in a laboratory environment. The science and engineering areas needs to teach their student in experimental practices and this implies, in most cases, costly and complex systems. This work shows how new technologies allows a low cost online laboratory. © 2017 IEEE.

关键词： Cost engineering

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Indirect Method for Calibrating Quadrotor Sensors: A Case Study applied to the Crazyflie 2.X 1

Indirect Method for Calibrating Quadrotor Sensors: A Case St...

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1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022

作者： Socas, Rafael Dormido, Raquel Guinaldo, Maria Manas-Alvarez, Francisco Jose Dormido, Sebastian Department of Computer Science and Automatic Control Madrid Spain

ISBN: (数字)9781665443579

ISBN: (纸本)9781665443579

In this work, a novel algorithm for sensors calibration in quadrotor is presented. Classical procedures are used to calibrate some variables but for the others, the angular speeds, an indirect method has been proposed. The algorithm has been applied to the quadrotor Crazyflie 2.X in a practical way. The proposed method has been described in detail and it can be applied in other kind of quadrotors in a simple way. Some experiments in a real environment have been performed to validate the solution. This work is part of a framework for quadrotor control engineering that improves the global performance of the system. © 2022 IEEE.

关键词： Calibration

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DISTRIBUTIONALLY ROBUST OPTIMIZATION OVER WASSERSTEIN BALLS WITH I.I.D. STRUCTURE

arXiv

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arXiv 2025年

作者： Kharitenko, Andrey Fochesato, Marta Tsiamis, Anastasios Schmid, Niklas Lygeros, John Department of Computer Science ETH Zürich Zürich8092 Switzerland Automatic Control Laboratory ETH Zürich Zürich8092 Switzerland

Distributionally robust optimization (DRO) is a principled approach to incorporate robustness against ambiguity in the specified probabilistic models. This paper considers data-driven DRO problems with Wasserstein ambiguity sets, where the uncertain distribution splits into i.i.d. components. By exploiting the latter decomposition, we construct a tighter ambiguity set that narrows down the plausible models to product distributions only, consequently reducing the conservatism of the DRO problem. To solve the resulting nonconvex optimization problem we devise a novel sequence of convex relaxations that asymptotically converges to the true value of the original problem under mild conditions. The benefits of the approach are demonstrated via illustrative *** Codes 90C15, 90C25 © 2025, CC BY.

关键词： Set theory

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A unified adaptive active control mechanism for noise cancellation and vibration suppression

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 1996年第6期10卷 667-682页

作者： Tokhi, MO Hossain, MA Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield U.K. Department of Computer Science University of Dhaka Dhaka Bangladesh

This paper presents the design and implementation of an active control mechanism for noise cancellation and vibration suppression within an adaptive control framework. A control mechanism is designed within a feedforward control structure on the basis of optimum cancellation at an observation point. The design relations are formulated such that to allow on-line design and implementation and thus result in a self-tuning control algorithm. The algorithm is implemented on an integrated digital signal processing (DSP) and transputer system. Simulation results verifying the performance of the algorithm are presented and discussed. (C) 1996 Academic Press Limited

关键词： Adaptive control systems

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SOME PROBLEMS CONCERNING THE CONSTRUCTION OF ALGORITHMS OF DECISION-MAKING IN FUZZY-SYSTEMS

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INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES 1981年第2期15卷 201-211页

作者： CZOGALA, E PEDRYCZ, W Department of Automatic Control and Computer Science Silesian Technical University 44-100 Gliwice Pstrowskiego 16 Poland

The fuzzy set theory established by L. A. Zadeh has started anew period in formalizing a decision-making processes in ill-defined systems where a human being (operator) is an important element in the control loop. The control algorithm used here is based on a generalized fuzzy version of modus ponens (compositional rule of inference) where a set of decision-making rules forming a control algorithm is given. The aim of this paper is to present some problems which may appear in the initial stage off design of a decisionmaking algorithm and discuss a method of their formulation. We introduce notions like the completeness of algorithm, interactivity and the competitivity of control rules and consider indices illustrating the presented design aspects.

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CLASSIFICATION IN A FUZZY ENVIRONMENT

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PATTERN RECOGNITION LETTERS 1985年第5期3卷 303-308页

作者： PEDRYCZ, W Department of Automatic Control and Computer Science Silesian Technical University 44-100 Gliwice Pstrowkiego 16 Poland

In this paper a method of designing a pattern classifier in the presence of fuzzy data (patterns represented in a linguistic manner) is provided. The classifier formulas are studied in a general setting of fuzzy relat... 详细信息

关键词： feature ordering fuzzy relation equations, possibility measure Pattern classification

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