Advances in Deep Learning for Medical Image Analysis
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- Synopsis
- This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 154 Pages
- ISBN-13:
- 9781000575996
- Related ISBNs:
- 9781003230540, 9781032137193, 9781032137162
- Publisher:
- CRC Press
- Date of Addition:
- 04/28/22
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Archana Mire
- Edited by:
- Vinayak Elangovan
- Edited by:
- Shailaja Patil