3 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
Multi-loss ensemble deep learning for chest X-ray classification
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer Antani
Medical images commonly exhibit multiple abnormalities. Predicting them requires multi-class classifiers whose training and desired reliable performance can be affected by a combin…
Trilateral Attention Network for Real-time Medical Image Segmentation
Ghada Zamzmi, Vandana Sachdev, Sameer Antani
Accurate segmentation of medical images into anatomically meaningful regions is critical for the extraction of quantitative indices or biomarkers. The common pipeline for segmentat…
Chest X-Ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio +2
Chest X-rays are the most commonly performed diagnostic examination to detect cardiopulmonary abnormalities. However, the presence of bony structures such as ribs and clavicles can…