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Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images

Using a 22-layer U-Net to perform segmentation of squamous c...

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Medical Imaging 2020: Digital Pathology

作者： Mavuduru, Amol Halicek, Martin Shahedi, Maysam Little, James V. Chen, Amy Y. Myers, Larry L. Fei, Baowei Dept. of Bioengineering University of Texas DallasTX United States Dept. of Computer Science University of Texas DallasTX United States Dept. of Biomedical Engineering Georgia Inst. of Tech. Emory Univ. AtlantaGA United States Emory Univ. School of Medicine Dept. of Pathology and Laboratory Medicine AtlantaGA United States Emory Univ. School of Medicine Dept. of Otolaryngology AtlantaGA United States Dept. of Otolaryngology Univ. of Texas Southwestern Medical Center DallasTX United States Advanced Imaging Research Center Univ. of Texas Southwestern Medical Center DallasTX United States Dept. of Radiology Univ. of Texas Southwestern Medical Center DallasTX United States

ISBN: (纸本)9781510634077

Squamous cell carcinoma (SCC) comprises over 90 percent of tumors in the head and neck. The diagnosis process involves performing surgical resection of tissue and creating histological slides from the removed tissue. Pathologists detect SCC in histology slides, and may fail to correctly identify tumor regions within the slides. In this study, a dataset of patches extracted from 200 digitized histological images from 84 head and neck SCC patients was used to train, validate and test the segmentation performance of a fully-convolutional U-Net architecture. The neural network achieved a pixel-level segmentation AUC of 0.89 on the testing group. The average segmentation time for whole slide images was 72 seconds. The training, validation, and testing process in this experiment produces a model that has the potential to help segment SCC images in histological images with improved speed and accuracy compared to the manual segmentation process performed by pathologists. © 2020 SPIE. All rights reserved.

关键词： PSISDG

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Combining Photometric Features and Relative Position to Detect and Track Target Person

Combining Photometric Features and Relative Position to Dete...

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International Conference on computer engineering, Network and Intelligent Multimedia (CENIM)

作者： Bima Sena Bayu Dewantara Jun Miura Dept. of Informatics and Computer Engineering Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Dept. of Computer Science and Engineering Toyohashi University of Technology Toyohashi Japan

ISBN: (纸本)9781728129662

Tracking a target person is a vital job in human-robot interaction. The robot must always notice a particular person as the interaction target partner. However, it is sometimes very hard to distinguish the target person because there are many other persons around the target. In this paper, we propose a target person detection and tracking system by combining person's frontal photometric features such as face and clothing color, and coordinate of the person's location in the real world. We apply an illumination invariant face recognition method named OptiFuzz. Hue-Saturation histogram (HS-histogram) is used to obtain the clothing color feature, and a location of the person is acquired from a calibrated single camera view. All these features are then fed into an algorithm of Naive Bayes to discriminate between the target person and others. Our experimental results indicate a successful outcome as it is always possible to detect and track the target person.

关键词： human-robot interaction target partner illumination invariant face recognition HS-histogram Naive Bayes Persons Human machine interaction Targets Photomechanics relative positioning

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A novel portable fluorophore-free photonic qPCR for point-of-care applications

A novel portable fluorophore-free photonic qPCR for point-of...

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Clinical and Translational Biophotonics, Translational 2020

作者： Mohammadyousef, P. Paliouras, M. Trifiro, M. Kirk, A.G. Electrical and Computer Engineering Dept. McGill University 3480 Rue University MontréalQCH3A 2K6 Canada Lady Davis Inst. for Medical Research Jewish General Hospital 3755 Chemin de la Côte-Sainte-Catherine MontréalQCH3T 1E2 Canada

Plasmonic-driven Polymerase Chain Reaction is accomplished by a surface-emitting laser with real-time amplification detected via monitoring of DNA-UV transmission. This miniature device provides high amplification eff... 详细信息

ISBN: (纸本)9781943580743

关键词： Polymerase chain reaction

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Performance-complexity tradeoffs of concatenated FEC for 64-QAM MLC and BICM 45

Performance-complexity tradeoffs of concatenated FEC for 64-...

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45th European Conference on Optical Communication, ECOC 2019

作者： Barakatain, Masoud Lentner, Diego Böcherer, Georg Kschischang, Frank R. Dept. of Electrical and Computer Eng. Univ. of Toronto Toronto Canada Inst. for Communications Eng. Technical Univ. of Munich Munich Germany Optical Communication Technology Lab. Huawei Paris France

ISBN: (纸本)9781839531859

Multilevel coding (MLC) is compared with bit-interleaved coded modulation (BICM) from a performance-versus-complexity standpoint. In both approaches, complexity-optimized error-reducing inner codes are designed for concatenation with an outer staircase code, assuming signaling with 64-point quadrature amplitude modulation. The codes are designed to achieve various points on the Pareto frontier characterizing the performance-complexity tradeoff. computer simulations of the resulting codes reveal that the MLC approach (a) provides significant advantages compared to BICM and (b) has a clear edge over an existing MLC proposal, providing a net coding gain of up to 13.6 dB at 28% overall overhead, yet with reasonable decoding complexity. © 2019 inst.tution of engineering and technology. All rights reserved.

关键词： Complex networks

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A Survey on OFDM Interference Challenge to improve its BER 2

A Survey on OFDM Interference Challenge to improve its BER

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2nd International Conference on Electronics, Communication and Aerospace technology, ICECA 2018

作者： Jadav, Nilesh Kumar Computer Engineering Dept. MEF Group of Inst. Rajkot Gujarat360003 India

ISBN: (纸本)9781538609651

Generation of wireless network from past to present deals with many fatal problems such as - spectrum scarcity, lower data rates, power deficiency, synchronization, unfavorable diversity, inferior QoS, and Interference. Many of the above problems are resolved in some manner using a better modulation and multiplexing technique using Orthogonal Frequency Division Multiplexing (OFDM), however, it still interlocks with Interference hindrance. In the paper, we surveyed all about OFDM interference's - Inter Symbol Interference (lSI), Inter Carrier Interference (ICI) and Co- Channel Interference (CCI) which greatly inhibits the Bit Error Rate (BER) of OFDM. Moreover, this paper also reviews some of the good research on interference mitigation techniques. We also surveyed the work on wavelet transform which is quite effective in OFDM system compare to conventional Fourier transform. Channel coding is a measurable parameter which is a mere technique in reducing the CCI effect from the wireless system, for that we elaborate Space Time Block Code-OFDM (STBC-OFDM) to reduce ICI and CCI. © 2018 IEEE.

关键词： Orthogonal frequency division multiplexing

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Using LoRa technology for IoT Monitoring Systems

Using LoRa Technology for IoT Monitoring Systems

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International Conference on the Network of the Future (NOF)

作者： Christos Bouras Apostolos Gkamas Vasileios Kokkinos Nikolaos Papachristos Computer Technology Institute & Press "Diophantus" Patras Greece University Ecclesiastical Academy of Vella Greece Computer Engineering and Informatics Dept. Univ. of Patras Greece

ISBN: (数字)9781728144450

ISBN: (纸本)9781728144467

This paper presents technology comparison scenarios for Internet of Things (IoT) concepts on rescue monitoring. The study starts by comparing WiFi & LoRa as wireless technologies able to be used by smart devices for data transmission. The IoT end-devices used in these concepts have high requirements in battery saving and for this reason the usage of low-power modules is advisable. This paper focus in rescue monitoring and the goal in the current study is the usage of the two wireless technologies used for data transmission from IoT devices: the already known WiFi and the upcoming LoRa technology. During rescue monitoring, important concepts are the identification and individuals' rescue of particularly vulnerable groups or individuals belonging to population groups with a high probability of being lost. A LoRa based gateway and WiFi Router is used to connect the end-devices used in our scenarios to the Internet. The collected data on server application as captured from inst.lled sensors on the IoT modules can be displayed to authorized users through a web or mobile application. The results through simulation and real time experiments indicate that LoRa could be an ideal candidate for rescue monitoring. This study is a first step in creating a more general ecosystem for rescue concepts including all the hardware and software using the LoRa technology as transmission method.

关键词： Wireless fidelity Monitoring Sensors Batteries Logic gates Servers Internet of Things

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Boundary value analysis testing on augmented reality of indonesian fruit recognition at mekarsari tourist park using cloud method on android mobile devices

Boundary value analysis testing on augmented reality of indo...

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International Conference on Information System, computer Science and engineering 2018, ICONISCSE 2018

作者： Dewi Agushinta, R. Hustinawaty Jatnika, Ihsan Medyawati, Henny Dept. of Information System Faculty of Computer Science and Information Technology Gunadarma University Jl. Margonda Raya No. 100 Pondok Cina Depok West Java16424 Indonesia Dept. of Informatics Engineering Faculty of Industrial Technology Gunadarma University Jl. Margonda Raya No. 100 Pondok Cina Depok West Java16424 Indonesia

Software testing is a process of implementing a program with the aim of finding an error. A good test case is if the test has the possibility of finding an uncovered error. A successful test is if the test finds an error that was not initially found. One of the testing types available is black box testing. This paper proposes testing using black box testing technique. The black box testing method consists of several ways including equivalence partitioning, boundary value analysis, comparison testing, sample testing, robustness testing, and others. Among the many methods of testing, Boundary Value Analysis was chosen in this study. Boundary Value Analysis is a method of testing by determining the value of the lower limit and upper limit of the data that will be tested. This test is performed on the functions of Augmented Reality prototype of Indonesia fruit recognition by using the cloud method on Android mobile devices. From testing the distance of marker objects to Android mobile devices on cloud recognition using an Android camera shows that the higher the augmentable rating of the target image and the more the number of markers features detected, the easier the image will be tracked by AR. If the distance between the camera and the real object gets farther away, then the virtual object cannot be displayed. Testing with mobile devices using HSDPA, 3G and WIFI networks connecting a cloud database server to display virtual objects shows the average results of devices that use WIFI networks provide the fastest performance. © Published under licence by IOP Publishing Ltd.

关键词： Testing

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Iterative Programming of Noisy Memory Cells

Iterative Programming of Noisy Memory Cells

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IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Michal Horovitz Eitan Yaakobi Eyal En Gad Jehoshua Bruck Dept. of Computer Science Tel-Hai College and The Galilee Research Institute - Migal Upper Galilee Israel Dept. of Computer Science Technion–Israel Inst. of Tech Haifa Israel Micron Technology Milipitas CA USA Dept. of Electrical Engineering California Inst. of Tech Pasadena CA USA

This paper studies a model, which was first presented by Bunte and Lapidoth, that mimics the programming operation of memory cells. Under this paradigm it is assumed that the cells are programmed sequentially and individually. The programming process is modeled as transmission over a channel, while it is possible to read the cell state in order to determine its programming success, and in case of programming failure, to reprogram the cell again. Reprogramming a cell can reduce the bit error rate, however this comes with the price of increasing the overall programming time and thereby affecting the writing speed of the memory. An iterative programming scheme is an algorithm which specifies the number of attempts to program each cell. Given the programming channel and constraints on the average and maximum number of attempts to program a cell, we study programming schemes for maximizing the number of bits that can be reliably stored in the memory. We extend the results by Bunte and Lapidoth and study this problem when the programming channel is either the BSC, the BEC, or the Z channel, where we focus on a specific broad family of programming schemes. For the BSC and the BEC our analysis is also extended for the case where the error probabilities on consecutive writes are not necessarily the same. Lastly, we also study a related model which is motivated by the synthesis process of DNA molecules.

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Dynamic Multicast Traffic engineering with Efficient Rerouting for Software-Defined Networks

Dynamic Multicast Traffic Engineering with Efficient Rerouti...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Jian-Jhih Kuo Sheng-Hao Chiang Shan-Hsiang Shen De-Nian Yang Wen-Tsuen Chen Dept. of Computer Science & Information Engineering National Chung Cheng University Chiayi Taiwan Dept. of Computer Science & Information Engineering National Taiwan University of Science & Technology Taipei Taiwan Academia Sinica Inst. of Information Science Taipei Taiwan Dept. of Computer Science National Tsing Hua University Hsinchu Taiwan

Traffic engineering (TE) and efficient network updating have been considered as separate problems in previous SDN research. Traffic engineering mostly focuses on static traffic and does not consider the rerouting overheads to support dynamic traffic. Efficient network updating assumes the new routing is provided by TE and focuses on minimizing only the rerouting overheads, and therefore, the improved new routing with bandwidth consumption similar to the new routing from TE but much lower rerouting overheads has not been explored. In this paper, we explore Multi-tree Low-overhead Multicast Rerouting (MLMR) to jointly solve both problems for SDN multicast. We prove that MLMR is NP-hard and design a new approximation algorithm, named Multicast Rerouting and Update Scheduling Algorithm (MRUSA). Equipped with the notions of deterioration indicator, motivator, and inhibitor, MRUSA provides incremental tree updating and multi-tree update scheduling to address the trade-off between the bandwidth consumption and rerouting overheads. Frequent rerouting due to tiny changes of multicast users can be effectively avoided, because rerouting time for each group can be correctly identified. Simulations and implementation on real SDNs with YouTube traffic manifest that the total cost can be reduced by at least 35% compared with SPT and ST, and the computation time is small for massive SDN.

关键词： Routing Bandwidth Unicast Approximation algorithms Multicast algorithms computer science Control systems

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JMentor: An Ontology-Based Framework for Software Understanding and Reuse

JMentor: An Ontology-Based Framework for Software Understand...

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ACS/IEEE International Conference on computer Systems and Applications

作者： Majdi Rawashdeh Awny Alnusair Muder Almiani Lina Sawalha Dept. of Business Information Technology Princess Sumaya University for Technology Amman Jordan Dept. of Informatics & Computer Science Indiana University Kokomo Kokomo IN USA Computer Information Systems Dept. Al-Hussein Bin Talal University Ma'an Jordan Dept. of Electrical and Computer Engineering Western Michigan University Kalamazoo MI USA

ISBN: (数字)9781728150529

ISBN: (纸本)9781728150536

Understanding and reusing complex APIs is a difficult and time consuming process, especially in legacy code and open-source software libraries and frameworks. While some primary API features are documented properly, most others lack enough documentation and design knowledge that can help developers find, understand, and reuse the needed software components and other library features. As such, the source-code itself is often the only reliable means for programmers to rely on when performing their reuse practices. In order to leverage program understanding and software reuse, this paper describes an ontology-based system named JMentor that we have developed for this purpose. Firstly, JMentor is capable of recovering the lost design decisions by reverse engineering design patterns. Secondly, JMentor provides a mechanism for locating and retrieving reusable software components. Thirdly, JMentor provides an approach for automatically recommending source-code snippets that show an example of how the user can properly reuse the retrieved components. JMentor mechanisms are based on ontology and semantic reasoning techniques. Its evaluation case studies show evidence that such techniques can improve software understanding and reuse practices.

关键词： Ontologies Software Semantics Object oriented modeling Software libraries Task analysis

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