Breast cancer image analysis using deep learning techniques–a survey

SS Koshy, LJ Anbarasi, M Jawahar, V Ravi - Health and Technology, 2022 - Springer
Purpose Breast cancer is a tumour affecting the breast tissues and is detected commonly in
women. Computer-aided diagnosis aids in mass screening and early detection of breast …

Skin cancer detection using deep learning

S Rajarajeswari, J Prassanna… - Research Journal of …, 2022 - indianjournals.com
Objective This work classifies skin lesions with the help of Convolution Neural Network and
the images are trained end-to-end. A dataset comprised of 10000 clinical images were …

Machine learning for the analysis of conductivity from mono frequency electrical impedance mammography as a breast cancer risk factor

RLR Coripuna, DIH Farías, BOM Ortiz… - IEEE …, 2021 - ieeexplore.ieee.org
Computational approaches have been used for analyzing risk factors together with
conventional mammograms for breast cancer detection. Currently, other screening methods …

CNN based Framework for intelligent Diagnosis of Tuberculosis using Chest Radiographs

J Prassanna, LJ Anbarasi, P Rukmani… - Research Journal of …, 2022 - indianjournals.com
Medical Image Processing plays a major role in optimized identification of various diseases.
In many parts of the world, tuberculosis is a serious health problem. Even in today's …

[PDF][PDF] ACCEPTED IN HEALTH and TECHNOLOGY Breast Cancer Image Analysis Using Deep Learning Techniques–A Survey

SS Koshy, LJ Anbarasi, M Jawahar, V Ravi - researchgate.net
Breast cancer is a tumor affecting the breast tissues and is detected commonly in women.
Computer-aided diagnosis aids mass screening and early detection of breast cancer …