TY  - BOOK
AU  - Chaki,Jyotismita
TI  - Brain tumor image segmentation using deep learning techniques
AV  - RC270 
U1  - 616.99/4075 23/eng/20220822
PY  - 2022///
CY  - Cambridge, MA : 
PB  - Academic Press, an imprint of Elsevier
KW  - Neoplasms
KW  - diagnosis
KW  - Deep Learning
KW  - Early Detection of Cancer
KW  - Image Interpretation, Computer-Assisted
N1  - Includes bibliographical references and index; Contemporary Trends in the Early Detection and Diagnosis of Human Cancers using Deep Learning Techniques / Nirmala Vasan Balasenthilkumaran and Sumit Kumar Jindal -- Cancer data pre-processing techniques / Jyotismita Chaki -- A Survey on deep learning techniques for Breast, Leukemia and Cervical Cancer Prediction / N Jothiaruna and Anny Leema A -- An optimized deep learning technique for detecting lung cancer from CT images  / Vanitha. M, Mangayarkarasi. R, Angulakshmi. M, and Deepa. M -- Brain tumor segmentation utilizing MRI multimodal images with deep learning / Chellaswamy C, Geetha T S, Markkandan S, and Thiruvalar Selvan -- Detection and Classification of Brain Tumors using Light Weight Convolutional Neural Network / Sabyasachi Mukherjee, Oishila Bandyopadhyay, and Arindam Biswas -- Parallel dense skip connected CNN approach for Brain Tumor Classification / G. Yogeswararao, V. Naresh, R. Malmathanraj, P. Palanisamy, and Karthik Balasubramanian -- Liver Tumor Segmentation Using Deep Learning Neural Networks / Sumedha Vadlamani, Charit Gupta Paluri, Jaydev Jangiti, Sumit Kumar Jindal -- Deep Learning Algorithms for Classification and Prediction of Acute Lymphoblastic Leukemia / Amrita Iand Snigdha Sen -- Cervical Pap smear Screening and Cancer Detection using Deep Neural Network / Munakala Lohith, Soumi Bardhan, and Oishila Bandyopadhyay -- Cancer detection using deep neural network: Differentiation of Squamous Carcinoma cells in Oral Pathology / Jayanthi Ganapathy -- Challenges and Future scopes in Current Applications of Deep Learning in Human Cancer Diagnostics / C.S. Vidhya, M. Loganathan, and R. Meenatchi
N2  - "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; challenges and future scopes of deep learning techniques in oncology"--
ER  -