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DC Field | Value | Language |
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dc.contributor.author | Jyotismita Chaki | - |
dc.date.accessioned | 2024-06-25T07:44:42Z | - |
dc.date.available | 2024-06-25T07:44:42Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10323 | - |
dc.description.abstract | This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques which are essential to cancer diagnostics. Topics include: introduction to current applications of deep learning in cancer diagnostics; pre-processing of cancer data using deep learning; review of deep learning techniques in oncology; overview of advanced deep learning techniques in cancer diagnostics; prediction of cancer susceptibility using deep learning techniques; prediction of cancer reoccurrence using deep learning techniques; deep learning techniques to predict the grading of human cancer; different human cancer detection using deep learning techniques; prediction of cancer survival using deep learning techniques; complexity in the use of deep learning in cancer diagnostics; challenges and future scopes of deep learning techniques in oncology | vi |
dc.language.iso | en | vi |
dc.publisher | CRC Press | vi |
dc.subject | Neoplasms | Deep Learning | Early Detection of Cancer | Image Interpretation, Computer-Assisted | Khối u—chẩn đoán | vi |
dc.title | Current applications of deep learning in cancer diagnostics | vi |
dc.type | Sách/Book | vi |
Appears in Collections | Y học và y tế |
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