From the 2 of 4 linked papers with an AI index.
4 papers
MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification
Jiho Jun, Jeongwon Woo, Jaemin Song +6
The paper introduces MAGE, a framework that uses masked achromatic views and dual-objective knowledge distillation to train a model that classifies gastric adenoma versus carcinoma…
Decouple and Reason: Anatomically Guided Two-Stage Voxel-Level Grounding of Free-Text Findings in 3D Chest CT
Kwang-Hyun Uhm, Inhwa Son, Sung-Jea Ko
The paper introduces a two‑stage decoupled framework that first performs class‑agnostic lesion segmentation on 3D chest CT scans and then aligns the resulting sub‑volumes with free…
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman +60
Multi-class segmentation of the aorta in computed tomography angiography (CTA) scans is essential for diagnosing and planning complex endovascular treatments for patients with aort…
Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans
Kwang-Hyun Uhm, Seung-Won Jung, Sung-Hoo Hong +1
Multi-phase computed tomography (CT) has been widely used for the preoperative diagnosis of kidney cancer due to its non-invasive nature and ability to characterize renal lesions.…