TY - GEN digital ID - 131862906 TI - Deep Learning for Cancer Diagnosis AU - Kose, Utku AU - Alzubi, Jafar PY - 2021 SN - 9789811563218 9789811563225 9789811563232 9789811563201 PB - Singapore Springer Singapore, Imprint: Springer DB - UniCat KW - Electronics KW - Programming KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - computervisie KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - signal processing KW - grafische vormgeving KW - programmeren (informatica) KW - medische informatica KW - KI (kunstmatige intelligentie) KW - signaalprocessoren KW - signaalverwerking UR - https://www.unicat.be/uniCat?func=search&query=sysid:131862906 AB - This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation. ER -