3 papers
cs.CV2025
Prompt-based Dynamic Token Pruning for Efficient Segmentation of Medical Images
Pallabi Dutta, Anubhab Maity, Sushmita Mitra
The high computational demands of Vision Transformers (ViTs) in processing a large number of tokens often constrain their practical application in analyzing medical images. This re…
eess.IV2024
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
Pallabi Dutta, Soham Bose, Swalpa Kumar Roy +1
The development of efficient segmentation strategies for medical images has evolved from its initial dependence on Convolutional Neural Networks (CNNs) to the current investigation…
eess.IV2022
Full-scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions
Pallabi Dutta, Sushmita Mitra
Automated delineation of COVID-19 lesions from lung CT scans aids the diagnosis and prognosis for patients. The asymmetric shapes and positioning of the infected regions make the t…