#ct-analysis News & Analysis

2 articles tagged with #ct-analysis. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 46/10

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Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes

Researchers developed LesionDETR, a deep learning model that characterizes kidney lesions in CT scans at the individual lesion level rather than patient or organ level, predicting lesion type, size, enhancement, and attenuation. The model achieved strong performance on bilateral abnormality detection (AUC 0.799-0.817) but revealed that rare solid lesions remain challenging, suggesting data collection rather than architectural improvements are needed next.

AINeutralarXiv – CS AI · May 126/10

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CT-IDP: Segmentation-Derived Quantitative Phenotypes for Interpretable Abdominal CT Disease Classification

Researchers developed CT-IDP, a quantitative phenotyping framework that uses organ segmentation and derived descriptors to classify abdominal CT diseases through interpretable logistic regression. The approach achieved superior performance compared to vision-transformer baselines across multiple datasets, demonstrating the value of explainable AI in medical imaging.