Can I read Deep Learning in Biomedical Signal and Medical Imaging (Artificial Intelligence for Sustainable Engineering and Management) on EtoBox?

Deep Learning in Biomedical Signal and Medical Imaging (Artificial Intelligence for Sustainable Engineering and Management) by Ngangbam Herojit Singh (editor), Utku Kose (editor), Sarada Prasad Gochhayat (editor) is a nonfiction available to read on EtoBox.

What is Deep Learning in Biomedical Signal and Medical Imaging (Artificial Intelligence for Sustainable Engineering and Management) about?

This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis and image processing perspectives. Deep Learning in Biomedical Signal and Medical Imaging discusses classification, segmentation, detection, tracking, and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT, and X-RAY, amongst others. It surveys the most recent techniques and approaches in this field, with both broad coverage and enough depth to be of practical use to working professionals. It includes examples of the application of signal and image processing employing Deep CNN to Alzheimer’s, brain tumor, skin cancer, breast cancer, and stroke prediction, as well as ECG and EEG signals. This book offers enough fundamental and technical information on these techniques, approaches, and related problems without overcrowding the reader’s head. It presents the results of the latest investigations in the field of Deep CNN for biomedical data analysis. The techniques and approache

Who reads Deep Learning in Biomedical Signal and Medical Imaging (Artificial Intelligence for Sustainable Engineering and Management)?

Author

Ngangbam Herojit Singh (editor), Utku Kose (editor), Sarada Prasad Gochhayat (editor)

Publisher

CRC Press LLC

Published

2024

Language

EN

ISBN

9781040107119

Category

nonfiction

Subjects

Medical, Medicine