Application of Deep Learning Methods in Healthcare and Medical Science

ISBN-13: 9781774911204 / Angielski / Twarda / 2022 / 304 str.

Opis

A wealth of up-to-date information on deep learning in healthcare and medicine 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, immunization, and more.

Spis treści

1. A Review on Detection of Kidney Disease Using Machine and Deep Learning Techniques  2. Deep Learning-Based Computer-Aided Diagnosis System  3. Extensive Study of WBC Segmentation Using Traditional and Deep Learning Methods  4. Introduction and Application of SVM in Brain Tumor Segmentation  5. Detection Analysis of COVID-19 Infection Using the Merits of Lungs CT Scan Images with Pre-Trained VGG-16 and 3-Layer CNN Models  6. Deep Learning Methods for Diabetic Retinopathy Detection  7. Study to Distinguish Covid-19 from Normal Cases Using Chest X-Ray Images with Convolution Neural Network  8. Breast Cancer Classification Using CNN Extracted Features: A Comprehensive Review  9. Multimodal Image Fusion with Segmentation for Detection of Brain Tumors Using a Deep Learning Algorithm  10. Unrolling the COVID-19 Diagnostic Systems Driven by Deep Learning  11. Generative Model and Its Application in Brain Tumor Segmentation  12. Genomic Sequence Similarity of SARS-CoV2 Nucleotide Sequences Using Biopython: Key for Finding Cure and Vaccines  13. Autonomous Logistic Transportation System for Smart Healthcare System  14. Survey on Cancer Diagnosis from Different Tests and Detection Methods with Machine and Deep Learning  15. A Deep Learning-Based Portable Digital X-Ray Devices for COVID-19 Patients  16. Adoption of Machine Learning and Open Source: Healthcare 4.0 Use Cases