1 citations · 1 across the 4 of their papers we have counts for
4 papers
FALCON: Few-Shot Adversarial Learning for Cross-Domain Medical Image Segmentation
Abdur R. Fayjie, Pankhi Kashyap, Jutika Borah +1
Precise delineation of anatomical and pathological structures within 3D medical volumes is crucial for accurate diagnosis, effective surgical planning, and longitudinal disease mon…
Interpretable Deep Learning Framework for Improved Disease Classification in Medical Imaging
Jutika Borah, Hidam Kumarjit Singh
Deep learning models have gained increasing adoption in medical image analysis. However, these models often produce overconfident predictions, which can compromise clinical accurac…
Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities
Jutika Borah, Kumaresh Sarmah, Hidam Kumarjit Singh
Imaging techniques such as Chest X-rays, whole slide images, and optical coherence tomography serve as the initial screening and detection for a wide variety of medical pulmonary a…
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts
Abdur R. Fayjie, Jutika Borah, Florencia Carbone +2
Deep learning has shown tremendous progress in a wide range of digital pathology and medical image classification tasks. Its integration into safe clinical decision-making support…