3 papers
eess.IV2025
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…
eess.IV2025
MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
Nand Kumar Yadav, Rodrigue Rizk, William CW Chen +1
Accurate and efficient medical image segmentation is crucial but challenging due to anatomical variability and high computational demands on volumetric data. Recent hybrid CNN-Tran…
cs.LG2024
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya +1
In this paper, we show that preprocessing data using a variant of rank transformation called 'Average Rank over an Ensemble of Sub-samples (ARES)' makes clustering algorithms robus…