Advanced Machine Learning Approaches in Cancer Prognosis

Challenges and Applications

Inbunden, Engelska, 2021

AvJanmenjoy Nayak,Margarita N. Favorskaya,Seema Jain,Bighnaraj Naik,Manohar Mishra

2 089 kr

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This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer.

Produktinformation

Utgivningsdatum2021-05-30
Mått155 x 235 x 31 mm
Vikt875 g
FormatInbunden
SpråkEngelska
SerieIntelligent Systems Reference Library
Antal sidor454
Upplaga21001
FörlagSpringer Nature Switzerland AG
ISBN9783030719746

Tillhör följande kategorier

Onkologi inom Medicin
Systemvetenskap och AI inom Data och IT
Medicinsk utrustning och medicinska tekniker inom Medicin

Advances in Machine Learning Approaches in Cancer Prognosis.- Data Analysis on Cancer Disease using Machine Learning Techniques.- Learning from multiple modalities of imaging data for cancer detection/diagnosis .- Neural Network for Lung Cancer diagnosis.- Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection.- Automated Breast Cancer Diagnosis Based on Neural Network Algorithms.

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Computational Intelligence in Cancer Diagnosis

Janmenjoy Nayak, Danilo Pelusi, Bighnaraj Naik, Manohar Mishra, Khan Muhammad, David Al-Dabass, India) Nayak, Janmenjoy (Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo (MSCBD) University, Mayurbhanj, Italy) Pelusi, Danilo (Associate Professor, Faculty of Communication Sciences, University of Teramo, Teramo, India) Naik, Bighnaraj (Assistant Professor, Department of Computer Application, Veer Surrendra Sai University of Technology, Burla, India) Mishra, Manohar (Department of Electrical and Electronics Engineering, FET, Siksha O Anusandhan University, Bhubaneswar, South Korea) Muhammad, Khan, Ph.D. (Assistant Professor, Department of Interaction Science and Director of Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Sungkyunkwan University, Seoul, United Kingdom) Al-Dabass, David (School of Computer Science, Nottingham Trent University