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Can I read Current Applications of Deep Learning in Cancer Diagnostics on EtoBox?
Current Applications of Deep Learning in Cancer Diagnostics by Jyotismita Chaki, Aysegül Uçar, Aysegul Ucar is a nonfiction available to read on EtoBox.
What is Current Applications of Deep Learning in Cancer Diagnostics about?
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, and challenges and future scopes of deep learning techniques in oncology.
Who reads Current Applications of Deep Learning in Cancer Diagnostics?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jyotismita Chaki, Aysegül Uçar, Aysegul Ucar
- Publisher
- CRC Press LLC
- Published
- 2023
- Language
- EN
- ISBN
- 9781032233857
- Category
- nonfiction
- Subjects
- Computer Science, Science, Medical
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