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dc.contributor.authorJyotismita Chaki-
dc.date.accessioned2024-06-25T07:44:42Z-
dc.date.available2024-06-25T07:44:42Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/10323-
dc.description.abstractThis 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 oncologyvi
dc.language.isoenvi
dc.publisherCRC Pressvi
dc.subjectNeoplasms | Deep Learning | Early Detection of Cancer | Image Interpretation, Computer-Assisted | Khối u—chẩn đoánvi
dc.titleCurrent applications of deep learning in cancer diagnosticsvi
dc.typeSách/Bookvi
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