Thông tin tài liệu
| Nhan đề : | Current applications of deep learning in cancer diagnostics |
| Tác giả : | Jyotismita Chaki |
| Chủ đề : | Neoplasms | Deep Learning | Early Detection of Cancer | Image Interpretation, Computer-Assisted | Khối u—chẩn đoán |
| Năm xuất bản : | 2023 |
| Nhà xuất bản : | CRC Press |
| Tóm tắt : | 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 |
| URI: | http://thuvienso.thanglong.edu.vn//handle/TLU/10323 |
| Bộ sưu tập | Y học và y tế |
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