Current Applications of Deep Learning in Cancer Diagnostics

Summary

This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.

Product details

• Authors: Jyotismita Ucar Chaki
• Assisted by: Jyotismita Chaki (Editor), Aysegul Ucar (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 22.02.2023
• EAN: 9781032233857
• ISBN: 978-1-0-3223385-7
• No. of pages: 167
• Subjects: Natural sciences, medicine, IT, technology > Medicine > Clinical medicine; Robotics, COMPUTERS / General, COMPUTERS / Computer Science, Radiology, MEDICAL / Diagnostic Imaging / General, TECHNOLOGY & ENGINEERING / Robotics, COMPUTERS / Image Processing, COMPUTERS / Programming / Games, TECHNOLOGY & ENGINEERING / Biomedical, COMPUTERS / Machine Theory, Oncology, Biomedical engineering, MEDICAL / Oncology / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Neural Networks, Medical imaging: radiology, Neural networks and fuzzy systems, Neural networks & fuzzy systems