Advances in Deep Learning for Medical Image Analysis
Shailaja Patil editor Archana Mire editor Vinayak Elangovan editor
Format:Hardback
Publisher:Taylor & Francis Ltd
Published:6th May '22
Currently unavailable, and unfortunately no date known when it will be back
This hardback is available in another edition too:
- Paperback£45.99(9781032137193)
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.
ISBN: 9781032137162
Dimensions: unknown
Weight: 376g
154 pages