Description
Taylor & Francis Computer aided Design and Diagnosis Methods for Biomedical Applications 2021 Edition by Varun Bajaj, G R Sinha
Computer-Aided Design (Cad) Plays A Key Role In Improving Biomedical Systems For Various Applications. It Also Helps In The Detection, Identification, Predication, Analysis, And Classification Of Diseases, In The Management Of Chronic Conditions, And In The Delivery Of Health Services. This Book Discusses The Uses Of Cad To Solve Real-World Problems And Challenges In Biomedical Systems With The Help Of Appropriate Case Studies And Research Simulation Results. Aiming To Overcome The Gap Between Cad And Biomedical Science, It Describes Behaviors, Concepts, Fundamentals, Principles, Case Studies, And Future Directions For Research, Including The Automatic Identification Of Related Disorders Using Cad. Features:Proposes Cad For The Study Of Biomedical Signals To Understand Physiology And To Improve Healthcare Systems' Ability To Diagnose And Identify Health Disorders. Presents Concepts Of Cad For Biomedical Modalities In Different Disorders. Discusses Design And Simulation Examples, Issues, And Challenges. Illustrates Bio-Potential Signals And Their Appropriate Use In Studying Different Disorders. Includes Case Studies, Practical Examples, And Research Directions. Computer-Aided Design And Diagnosis Methods For Biometrical Applications Is Aimed At Researchers, Graduate Students In Biomedical Engineering, Image Processing, Biomedical Technology, Medical Imaging, And Health Informatics. Table Of Contents : - Chapter 1 Electroencephalogram Signals Based Emotion Classification In Parkinson'S Disease Using Recurrence Quantification Analysis And Non-Linear Classifiersm Murugappan, Smith K. Khare, Waleed Alshuaib, Ali K Bourisly, Varun Bajaj, And G. R. Sinhachapter 2 Sleep Stage Classification Using Dwt And Dispersion Entropy Applied On Eeg Signalsrajeev Sharma, Sitanshu Sekhar Sahu, Abhay Upadhyay, Rishi Raj Sharma, And Ajit Kumar Sahoochapter 3 Detection Of Epileptic Electroencephalogram Signals Employing Visibility Graph Motifssayanjit Singha Roy, Sudip Modak, Kaniska Samanta, Soumya Chatterjee, And Rohit Bosechapter 4 Effect Of Various Standing Poses Of Yoga On The Musculoskeletal System Using Emgpadmini Sahu, Bikesh Kumar Singh, And Neelamshobha Niralachapter 5 Early Detection Of Parkinson Disease And Swedd Using Smote And Ensemble Emina Alickovic And Abdulhamit Subasichapter 6 Computer-Aided Design And Diagnosis Method For Cancer Detectionjohra Khan And Yousef Rasmichapter 7 Automated Covid-19 Detection From Ct Images Using Deep Learningabdulhamit Subasi, Arka Mitra, Fatih Ozyurt, And Turker Tuncerchapter 8 Suspicious Region Diagnosis In The Brain: A Guide To Using Brain Mri Sequencesayca Kirimtat, Ondrej Krejcar, Ali Selamat, Enrique Herrera-Viedma, Kamil Kuca, And Anis Yazidichapter 9 Medical Image Classification Algorithm Based On Weight Initialization-Sliding Window Fusion Convolutional Neural Networkankit Kumar, Pankaj Dadheech, S. R. Dogiwal, Sandeep Kumar, And Rajani Kumarichapter 10 Positioning The Healthcare Client In Diagnostics And The Validation Of Care Intensitymarjo Rissanenchapter 11 Computer-Aided Diagnosis (Cad) System For Determining Histological Grading Of Astrocytoma Based On Ki67 Countingfahmi Akmal Dzulkifli, Maryam Ahmad Sharifuddin, Mohd Yusoff Mashor, And Hasnan Jaafarchapter 12 Improved Classification Techniques For The Diagnosis And Prognosis Of Cancerpankaj Dadheech, Ankit Kumar, S. R. Dogiwal, Vipin Jain, Vijander Singh, And Linesh Rajachapter 13 Discovery Of Thyroid Disease Using Different Ensemble Methods With Reduced Error Pruning Techniquedhyan Chandra Yadav And Saurabh Palchapter 14 Reliable Diagnosis And Prognosis Of Covid-19 Marjan Mansourian, Hamid Reza Marateb, Maja Von Cube, Sadaf Khademi, Mislav Jordanic, Miguel Angel Mananas, Harald Binder, And Martin Wolkewitzchapter 15 Computer-Aided Diagnosis Methods For Non-Invasive Imaging Of Sub-Skin Lesionsravibabu Mulaveesala, Geetika Dua, And Vanita Aroraindex