1st Edition
Current Applications of Deep Learning in Cancer Diagnostics
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.
