111 citations · 224 across the 31 of their papers we have counts for
5 papers · 1 filter
Learning to Select Like Humans: Explainable Active Learning for Medical Imaging
Ifrat Ikhtear Uddin, Longwei Wang, Xiao Qin +2
Medical image analysis requires substantial labeled data for model training, yet expert annotation is expensive and time-consuming. Active learning (AL) addresses this challenge by…
Expert-Guided Explainable Few-Shot Learning with Active Sample Selection for Medical Image Analysis
Longwei Wang, Ifrat Ikhtear Uddin, KC Santosh
Medical image analysis faces two critical challenges: scarcity of labeled data and lack of model interpretability, both hindering clinical AI deployment. Few-shot learning (FSL) ad…
Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis
Ifrat Ikhtear Uddin, Longwei Wang, KC Santosh
Medical image analysis often faces significant challenges due to limited expert-annotated data, hindering both model generalization and clinical adoption. We propose an expert-guid…
FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention
Jun Zeng, KC Santosh, Deepak Rajan Nayak +4
Colonoscopy is vital in the early diagnosis of colorectal polyps. Regular screenings can effectively prevent benign polyps from progressing to CRC. While deep learning has made imp…
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images
V. Rajinikanth, Nilanjan Dey, Alex Noel Joseph Raj +3
Pneumonia is one of the foremost lung diseases and untreated pneumonia will lead to serious threats for all age groups. The proposed work aims to extract and evaluate the Coronavir…