Mammogram segmentation using multi-atlas deformable registration MK Sharma, M Jas, V Karale, A Sadhu, S Mukhopadhyay Computers in Biology and Medicine 110, 244-253, 2019 | 26 | 2019 |
Nested U-Net for segmentation of red lesions in retinal fundus images and sub-image classification for removal of false positives S Kundu, V Karale, G Ghorai, G Sarkar, S Ghosh, AK Dhara Journal of Digital Imaging 35 (5), 1111-1119, 2022 | 15 | 2022 |
A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms VA Karale, JP Ebenezer, J Chakraborty, T Singh, A Sadhu, N Khandelwal, ... Journal of digital imaging 32 (5), 728–745, 2019 | 8 | 2019 |
Reduction of false positives in the screening CAD tool for microcalcification detection VA Karale, T Singh, A Sadhu, N Khandelwal, S Mukhopadhyay Sādhanā 45, 1-11, 2020 | 7 | 2020 |
Optic disc segmentation in retinal fundus images using fully convolutional network and removal of false-positives based on shape features S Sadhukhan, GK Ghorai, S Maiti, VA Karale, G Sarkar, AK Dhara Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 4 | 2018 |
Automated detection of microcalcification clusters in mammograms VA Karale, S Mukhopadhyay, T Singh, N Khandelwal, A Sadhu Medical Imaging 2017: Computer-Aided Diagnosis 10134, 710-716, 2017 | 3 | 2017 |