Deep Learning in Medical Image Analysis
Overview & Synopsis
The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis.
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Document Information
| Document Title | Deep Learning in Medical Image Analysis |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | interpretable/explainable machine learning |
| Categories | Open Access Books |
| Publication Year | 2022 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-139570 |
| Original Source Link | Visit Source Page on www.doabooks.org » |