5 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
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…
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT
Pallabi Dutta, Sushmita Mitra
An early effective screening and grading of COVID-19 has become imperative towards optimizing the limited available resources of the medical facilities. An automated segmentation o…
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…