Application of Deep Learning Methods in Healthcare and Medical Science

图书简介

The volume provides a wealth of up-to-date information on developments and applications of deep learning in healthcare and medicine, providing deep insight and understanding of novel applications that address the tough questions of disease diagnosis, prevention, and immunization. The volume looks at applications of deep learning for major medical challenges such as cancer detection and identification, birth asphyxia among neonates, kidney abnormalities, white blood cell segmentation, diabetic retinopathy detection, and Covid-19 diagnosis, prevention, and immunization. The volume discusses applications of deep learning in detection, diagnosis, intensive examination and evaluation, genomic sequencing, convolutional neural networks for image recognition and processing, and more for health issues such as kidney problems, brain tumors, lung damage, and breast cancer. The authors look at ML for brain tumor segmentation, in lung CT scans, in digital X-ray devices, and for logistic and transport systems for effective delivery of healthcare.

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 Using Biopython: Key for Finding Cure and Vaccines Sweeti Sah, B. Surendiran, and R. Dhanalakshmi 13. Autonomous Logistic Transpo

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Application of Deep Learning Methods in Healthcare and Medical Science 深度学习方法在医疗保健与医学科学中的应用 生物医学工程学

Application of Deep Learning Methods in Healthcare and Medical Science

深度学习方法在医疗保健与医学科学中的应用
生物医学工程学