15 citations · 15 across the 3 of their papers we have counts for
4 papers
FedDermaSeg: Federated Learning for Dermatological Image Segmentation
Anabik Pal, Ganesh Patidar, Bikash Santra
Skin cancer is a major global health concern, and early detection and accurate lesion delineation are important for effective diagnosis and treatment planning. Automated skin lesio…
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets
Anabik Pal, Zhiyun Xue, Sameer Antani
Cervical cancer is the fourth most common cancer in women worldwide. The availability of a robust automated cervical image classification system can augment the clinical care provi…
CapsDeMM: Capsule network for Detection of Munro's Microabscess in skin biopsy images
Anabik Pal, Akshay Chaturvedi, Utpal Garain +3
This paper presents an approach for automatic detection of Munro's Microabscess in stratum corneum (SC) of human skin biopsy in order to realize a machine assisted diagnosis of Pso…
Skin disease identification from dermoscopy images using deep convolutional neural network
Anabik Pal, Sounak Ray, Utpal Garain
In this paper, a deep neural network based ensemble method is experimented for automatic identification of skin disease from dermoscopic images. The developed algorithm is applied…