Computer Vision and Machine Intelligence in Medical Image Analysis: International Symposium, ISCMM 2019 PDF
Preview Computer Vision and Machine Intelligence in Medical Image Analysis: International Symposium, ISCMM 2019
Advances in Intelligent Systems and Computing 992 Mousumi Gupta Debanjan Konar Siddhartha Bhattacharyya Sambhunath Biswas Editors Computer Vision and Machine Intelligence in Medical Image Analysis International Symposium, ISCMM 2019 Advances in Intelligent Systems and Computing Volume 992 Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Nikhil R. Pal, Indian Statistical Institute, Kolkata, India Rafael Bello Perez, Faculty of Mathematics, Physics and Computing, Universidad Central de Las Villas, Santa Clara, Cuba Emilio S. Corchado, University of Salamanca, Salamanca, Spain HaniHagras,SchoolofComputerScience&ElectronicEngineering,Universityof Essex, Colchester, UK László T. Kóczy, Department of Automation, Széchenyi István University, Gyor, Hungary Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA Chin-Teng Lin, Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan Jie Lu, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia Patricia Melin, Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico Nadia Nedjah, Department of Electronics Engineering, University of Rio de Janeiro, Rio de Janeiro, Brazil Ngoc Thanh Nguyen, Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland Jun Wang, Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong Theseries“AdvancesinIntelligentSystemsandComputing”containspublications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing.Virtuallyalldisciplinessuchasengineering,naturalsciences,computer and information science, ICT, economics, business, e-commerce, environment, healthcare,lifesciencearecovered.Thelistoftopicsspansalltheareasofmodern intelligentsystemsandcomputingsuchas:computationalintelligence,softcomput- ingincludingneuralnetworks,fuzzysystems,evolutionarycomputingandthefusion of these paradigms, social intelligence, ambient intelligence, computational neuro- science, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning para- digms,machineethics,intelligentdataanalysis,knowledgemanagement,intelligent agents, intelligent decision making and support, intelligent network security, trust management,interactiveentertainment,Webintelligenceandmultimedia. The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. ** Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink ** More information about this series at http://www.springer.com/series/11156 Mousumi Gupta Debanjan Konar (cid:129) (cid:129) Siddhartha Bhattacharyya (cid:129) Sambhunath Biswas Editors Computer Vision and Machine Intelligence in Medical Image Analysis International Symposium, ISCMM 2019 123 Editors Mousumi Gupta Debanjan Konar Department ofComputer Applications Department ofComputer Science Sikkim Manipal Institute of Technology andEngineering EastSikkim,Sikkim, India Sikkim Manipal Institute of Technology EastSikkim,Sikkim, India SiddharthaBhattacharyya Department ofInformation Technology SambhunathBiswas RCC Institute of Information Technology MachineIntelligence Unit Kolkata, West Bengal, India Indian Statistical Institute Kolkata, West Bengal, India ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems andComputing ISBN978-981-13-8797-5 ISBN978-981-13-8798-2 (eBook) https://doi.org/10.1007/978-981-13-8798-2 ©SpringerNatureSingaporePteLtd.2020 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained hereinorforanyerrorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregard tojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Dr. Mousumi Gupta would like to dedicate the volume to her mother Smt. Ira Roy. Mr. Debanjan Konar would like to dedicate the volume to his parents Mr. Debidas Konar and Mrs. Smritikana Konar who have encouraged him all the way and to his beloved daughter Sanvi. Dr. Siddhartha Bhattacharyya would like to dedicate the volume to his father Late Ajit Kumar Bhattacharyya, his mother Late Hashi Bhattacharyya, his beloved wife Rashni Bhattacharyya and his colleagues Chandrayee, Amitabha, Prabhu, Rathin and Umesh. Preface We feel greatly privileged to present the conference proceedings of the First InternationalSymposiumonComputerVisionandMachineIntelligenceinMedical Image Analysis (ISCMM 2019) which was successfully held during February 26– 27, 2019, in conjunction with the 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP) at Sikkim Manipal Institute of Technology, Sikkim, India. Recently, visual computing-based analysis and inference have strengthened the medicalfieldandarebecominganintegralcomponenttothecommunityofmedical practitioners.Embeddedbiomedicalsystemperformsavarietyoftask,startingfrom simpledataacquisitionanditsdisplaytovariouspreprocessingtasks,suchasnoise rejection, and feature extraction followed by some complex decision-making pro- cesses based on sophisticated machine learning paradigms, helping out medical practitioners for effective treatment. Recent trends are dominantly found to be gravitated toward quantitative interpretation through computer methodologies. Algorithms, developed by scientists all over the globe, are gaining acceptance by the medical communities in the field of various disease diagnoses. However, as human lives are precious, we believe such medical image analysis algorithms should be carefully designed and tested and, therefore, need extra attention. Features should be very carefully chosen. It might so happen that benign diseases can mimic the behavior of malignant diseases or malignancies may sometimes exhibit characteristics of benign pattern, which could be misleading and fatal. Handling the possibilities is challenging. We, therefore, strongly believe that a common platform is badly needed in this area for large-scale discussion and interactions. The present conference is an attempt toward fulfilling this goal. Scientists,engineersandcliniciansexhibitedkeeninterest andsubmittedpapers in this conference on medical image processing. There were totally 55 papers submitted in the symposium from which 19 papers were accepted after strict scrutinyandoutofwhich15paperswereregisteredfororalpresentation.Theblind reviewprocesswasinitiatedbyassigningaminimumofthreeexpertreviewers.The credit goes to the technical program committee for extending their support to arrange for the review process and making it complete within the notified time. vii viii Preface We also thank the local organizing committee for different conference-related activities. We believe without their active support the conference would not have beenasuccess.Finally,wethankSpringerpublishinghouseforagreeingtopublish theproceedingsofourconference.WealsothanktheMedicalCouncilofIndiaand North Eastern Council for sponsoring the conference in various ways and, in particular, for their financial support in making the symposium possible. Sikkim, India Mousumi Gupta February 2019 Debanjan Konar Siddhartha Bhattacharyya Sambhunath Biswas Contents A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Separable Convolutional Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Rahul Sarkar, Animesh Hazra, Koulick Sadhu and Preetam Ghosh Identification of Neural Correlates of Face Recognition Using Machine Learning Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Shreya Gupta and Tapan Gandhi An Overview of Remote Photoplethysmography Methods for Vital Sign Monitoring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Ruchika Sinhal, Kavita Singh and M. M. Raghuwanshi Fuzzy Inference System for Efficient Lung Cancer Detection. . . . . . . . . 33 Laxmikant Tiwari, Rohit Raja, Vaibhav Sharma and Rohit Miri Medical Image Compression Scheme Using Number Theoretic Transform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Salila Hegde and Rohini Nagapadma The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 R. Murugan Classification Algorithms to Predict Heart Diseases—A Survey. . . . . . . 65 Prakash Ramani, Nitesh Pradhan and Akhilesh Kumar Sharma A Hybrid Filtering-Based Retinal Blood Vessel Segmentation Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 Piyush Samant, Atul Bansal and Ravinder Agarwal Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 Rashmi Raut, Visharad Sapate, Abhay Rokde, Samiksha Pachade, Prasanna Porwal and Manesh Kokare ix x Contents Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function-Based Level-Set Method . . . . . 91 Kaushiki Roy, Debotosh Bhattacharjee and Mita Nasipuri Macroscopic Reconstruction for Histopathology Images: A Survey . . . . 101 Bijoyeta Roy and Mousumi Gupta Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 M. M. Faniqul Islam, Rahatara Ferdousi, Sadikur Rahman and Humayra Yasmin Bushra Medical Diagnosis Under Uncertain Environment Through Bipolar-Valued Fuzzy Sets. . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 Palash Dutta and Dhanesh Doley Design and Analysis of Novel Room Temperature T-Ray Source for Biomedical Imaging: Application in Full Body Prosthetics. . . . . . . . 137 Saikat Adhikari, Singam Jayanthu and Moumita Mukherjee Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 149
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