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eess.IV2026
What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation
Jorge F. Lazo, Xixi Liu, Andreas Hallqvist +5
Lung nodule segmentation in computed tomography is essential for extracting clinically relevant information for lung cancer assessment and treatment planning. Foundation models hav…
eess.IV2024★ 1 cited
Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification
Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén +2
We present a novel method for explainable vertebral fracture assessment (XVFA) in low-dose radiographs using deep neural networks, incorporating vertebra detection and keypoint loc…