1st Edition

Current Applications of Deep Learning in Cancer Diagnostics

Edited By Jyotismita Chaki, Aysegul Ucar Copyright 2023
    187 Pages 27 Color & 52 B/W Illustrations
    by CRC Press

    187 Pages 27 Color & 52 B/W Illustrations
    by CRC Press

    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.

    1. Contemporary Trends in the Early Detection and Diagnosis of Human Cancers Using Deep Learning Techniques

    Nirmala Vasan Balasenthilkumaran and Sumit Kumar Jindal

    2. Cancer Data Pre-Processing Techniques

    Jyotismita Chaki

    3. A Survey on Deep Learning Techniques for Breast, Leukemia and Cervical Cancer Prediction

    N Jothiaruna and Anny Leema A

    4. An Optimized Deep Learning Technique for Detecting Lung Cancer from CT Images

    M. Vanitha, R. Mangayarkarasi, M. Angulakshmi, and M. Deepa

    5. Brain Tumor Segmentation Utilizing MRI Multimodal Images with Deep Learning

    C. Chellaswamy, P. Thiruvalar Selvan, S. Markkandan, and T. S. Geetha

    6. Detection and Classification of Brain Tumors Using Light-Weight Convolutional Neural Network

    Sabyasachi Mukherjee, Arindam Biswas, and Oishila Bandyopadhyay

    7. Parallel Dense Skip Connected CNN Approach for Brain Tumor Classification

    G. Yogeswararao, V. Naresh, R. Malmathanraj, P. Palanisamy, and Karthik Balasubramanian

    8. Liver Tumor Segmentation Using Deep Learning Neural Networks

    Sumedha Vadlamani, Charit Gupta Paluri, Jaydev Jangiti, and Sumit Kumar Jindal

    9. Deep Learning Algorithms for Classification and Prediction of Acute Lymphoblastic Leukemia

    I. Amrita and Snigdha Sen

    10. Cervical Pap Smear Screening and Cancer Detection Using Deep Neural Network

    Munakala Lohith, Soumi Bardhan, and Oishila Bandyopadhyay

    11. Cancer Detection Using Deep Neural Network: Differentiation of Squamous Carcinoma Cells in Oral Pathology

    Jayanthi Ganapathy

    12. Challenges and Future Scopes in Current Applications of Deep Learning in Human Cancer Diagnostics

    C.S. Vidhya, M. Loganathan, and R. Meenatchi

    Biography

    Jyotismita Chaki, PhD, is an Associate Professor at School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.

    Aysegul Ucar, PhD, is a Professor in Department of Mechatronics Engineering, Firat University, Turkey.