LIDC-IDRI
PulseAugur coverage of LIDC-IDRI — every cluster mentioning LIDC-IDRI across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New radiomic framework disentangles voxel geometry from signal modification in CT/MRI
Researchers have developed a new radiomic framework that accounts for voxel spacing in medical imaging, specifically computed tomography (CT) and magnetic resonance imaging (MRI). This voxel-spacing-aware (VS) method ai…
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New diffusion models tackle fairness, ambiguity, and multi-tasking in medical imaging · 4 sources tracked
Four new research papers introduce novel diffusion model architectures for medical imaging tasks. CompDiff focuses on fair generation of medical images across demographic groups by decomposing conditioning into single-a…
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Pixel-Level Residual Diffusion Transformer advances 3D CT volume generation
Researchers have introduced the Pixel-Level Residual Diffusion Transformer (PRDiT), a novel framework designed for generating high-resolution 3D CT medical volumes. This model employs a two-stage approach, first using a…
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Medical Imaging AI Vulnerable to Unmonitored Acquisition State Changes
A new research paper highlights a critical, unmonitored variable in medical imaging AI: the acquisition state. The study demonstrates that changes in reconstruction kernels, even when patient and acquisition parameters …
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New AI framework reconstructs lung nodules from sparse X-rays
Researchers have developed AReT, a novel framework for reconstructing lung nodules from sparse X-ray views using a modified tensorial radiance field approach. By adjusting a density shift parameter and incorporating ana…
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Researchers develop ProSeg for diverse and personalized medical image segmentation
Researchers have developed ProSeg, a novel probabilistic modeling approach for multi-rater medical image segmentation. This method addresses the challenge of inter-observer variability and ambiguous lesion boundaries by…
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AI lung nodule screening sensitivity varies with CT reconstruction and nodule phase
A new paper explores how the position of a lung nodule within a CT scan's reconstruction cycle, known as z-phase, can significantly impact the sensitivity of AI-based detection systems. The study found that when the rat…