domain adaptation 1multi-source learning 1optical coherence tomography 1retinal fluid segmentation 1uncertainty estimation 1
From the 1 of 2 linked papers with an AI index.
2 papers
eess.IV2026
Uncertainty-Aware Multi-Source Retinal Fluid Segmentation in OCT
Animesh Kumar
The paper proposes an attention‑guided TransUNet that segments three retinal fluid types in OCT images from multiple scanners, using domain‑adaptive normalization and providing unc…
eess.IV2026
Calibrated Hybrid CNN-Transformer for Retinal OCT Classification
Animesh Kumar
Deep models for retinal optical coherence tomography (OCT) classification report high accuracy but rarely report whether their confidence can be trusted -- a gap that matters when…