Application of deep learning methods in healthcare and medical science. (2023)
- Record Type:
- Book
- Title:
- Application of deep learning methods in healthcare and medical science. (2023)
- Main Title:
- Application of deep learning methods in healthcare and medical science
- Further Information:
- Note: Edited by Rohit Tanwar, Prashant Kumar, Malay Kumar, Neha Nandal.
- Editors:
- Tanwar, Rohit
Kumar, Prashant, 1986-
Kumar, Malay, 1988-
Nandal, Neha, 1990- - Contents:
- 1. Review of Detection Analysis to Find Kidney Abnormalities from Various Images Using Machine and Deep Learning Techniques Vemu Santhi Sri, P. Sathish Kumar, and V. Rajendran 2. Deep Learning-Based Computer-Aided Diagnosis System G. Vijaya 3. Extensive Study of WBC Segmentation Using Traditional and Deep Learning Methods Chandradeep Bhatt, Indrajeet Kumar, Sandeep Chand Kumain, and Jitendra Kumar Gupta 4. Introduction and Application of SVM in Brain Tumor Segmentation Amit Verma 5. Detection Analysis of Covid-19 Infection Using the Merits of Lung CT Scan Images with Pre-Trained VGG-16 and 3-Layer CNN Models P. Vijayalakshmi, P. Sathish Kumar, and V. Rajendran 6. Deep Learning Methods for Diabetic Retinopathy Detection Tahir Javed, Sheema Parwaz, and Janibul Bashir 7. Study to Distinguish Covid-19 from Normal Cases Using Chest X-Ray Images with Convolution Neural Network P. Sathish Kumar, P. Vijayalakshmi, and V. Rajendran 8. Breast Cancer Classification Using CNN Extracted Features: A Comprehensive Review Arpit Kumar Sharma, Amita Nandal, Todor Ganchev, and Arvind Dhaka 9. Multimodal Image Fusion with Segmentation for Detection of Brain Tumor Using Deep Learning Algorithm M. Padma Usha and G. Kannan 10. Unrolling the Covid-19 Diagnostic Systems Driven by Deep Learning Sakshi Aggarwal, Navjot Singh, and K. K. Mishra 11. Generative Model and Its Application in Brain Tumor Segmentation Amit Verma 12. Genomic Sequence Similarity of SARS-CoV2 Nucleotide Sequences Using1. Review of Detection Analysis to Find Kidney Abnormalities from Various Images Using Machine and Deep Learning Techniques Vemu Santhi Sri, P. Sathish Kumar, and V. Rajendran 2. Deep Learning-Based Computer-Aided Diagnosis System G. Vijaya 3. Extensive Study of WBC Segmentation Using Traditional and Deep Learning Methods Chandradeep Bhatt, Indrajeet Kumar, Sandeep Chand Kumain, and Jitendra Kumar Gupta 4. Introduction and Application of SVM in Brain Tumor Segmentation Amit Verma 5. Detection Analysis of Covid-19 Infection Using the Merits of Lung CT Scan Images with Pre-Trained VGG-16 and 3-Layer CNN Models P. Vijayalakshmi, P. Sathish Kumar, and V. Rajendran 6. Deep Learning Methods for Diabetic Retinopathy Detection Tahir Javed, Sheema Parwaz, and Janibul Bashir 7. Study to Distinguish Covid-19 from Normal Cases Using Chest X-Ray Images with Convolution Neural Network P. Sathish Kumar, P. Vijayalakshmi, and V. Rajendran 8. Breast Cancer Classification Using CNN Extracted Features: A Comprehensive Review Arpit Kumar Sharma, Amita Nandal, Todor Ganchev, and Arvind Dhaka 9. Multimodal Image Fusion with Segmentation for Detection of Brain Tumor Using Deep Learning Algorithm M. Padma Usha and G. Kannan 10. Unrolling the Covid-19 Diagnostic Systems Driven by Deep Learning Sakshi Aggarwal, Navjot Singh, and K. K. Mishra 11. Generative Model and Its Application in Brain Tumor Segmentation Amit Verma 12. Genomic Sequence Similarity of SARS-CoV2 Nucleotide Sequences Using Biopython: Key for Finding Cure and Vaccines Sweeti Sah, B. Surendiran, and R. Dhanalakshmi 13. Autonomous Logistic Transportation System for Smart Healthcare System Saswati Kumari Behera and G. Prashanth 14. Survey on Cancer Diagnosis from Different Tests and Detection Methods with Machine and Deep Learning Ghost Manoj Kumar, P. Sathish Kumar, and V. Rajendran 15. A Deep Learning Based Portable Digital X-Ray Devices for Covid-19 Patients Gopal Sakarkar, Vivek Tiwari, Rama Rao Karri, and Siti Sophiayati Yuhaniz 16. Adoption of Machine Learning and Open Source: Healthcare 4.0 Use Cases Neelu Jyothi Ahuja … (more)
- Edition:
- 1st
- Publisher Details:
- Toronto : Apple Academic Press
- Publication Date:
- 2023
- Extent:
- 1 online resource (304 pages), illustrations (black and white)
- Subjects:
- 610.285
Medical informatics
Deep learning (Machine learning) - Languages:
- English
- ISBNs:
- 9781000610703
9781000610680 - Related ISBNs:
- 9781774911204
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.738334
- Ingest File:
- 15_015.xml