This reprint covers some significant impacts in recent research, in both the private and public sectors of cancer biology and oncology, in which artificial intelligence (AI) and machine learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups which are focused on AI in diagnosis and therapy: AI in prognosis, grading and prediction; AI in clinical image analysis; AI models for pathological diagnosis; ML and statistical models for molecular cancer diagnostics and genetics; and AI in cancer triage, risk stratification, and screening. All necessary concepts, solutions, methodologies, and references are supplied, except for some fundamental knowledge that is well known in the general fields of AI and cancer, biology, and oncology. The readers may therefore gain the main concepts of each chapter, little need to refer to the concepts of the other chapters and references. The readers may hence start to read one or more chapters of the reprint according to their own interests.
Artificial Intelligence in Cancer, Biology and Oncology
RRP:
$182.00
Description
This reprint covers some significant impacts in recent research, in both the private and public sectors of cancer biology and oncology, in which artificial intelligence (AI) and machine learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups which are focused on AI in diagnosis and therapy: AI in prognosis, grading and prediction; AI in clinical image analysis; AI models for pathological diagnosis; ML and statistical models for molecular cancer diagnostics and genetics; and AI in cancer triage, risk stratification, and screening. All necessary concepts, solutions, methodologies, and references are supplied, except for some fundamental knowledge that is well known in the general fields of AI and cancer, biology, and oncology. The readers may therefore gain the main concepts of each chapter, little need to refer to the concepts of the other chapters and references. The readers may hence start to read one or more chapters of the reprint according to their own interests.
This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology...
This book presents artificial intelligence applications that may help in detecting disease, defining tissue characterization (benign vs malignant), staging and correlation with molecular biomarkers...
and morphological identification of cotton fibers depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange grading systems in the article...
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