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Author

L. D. Kampmeijer

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2 papers indexed here

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Review Aug 2026

Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

Deep learning segmentation models are often evaluated using geometric metrics such as Dice, HD95, and ASD, yet it remains unclear to what extent improvements in these metrics translate into clinically meaningful changes in downstream decision-making. The metric-to-decision gap is examined using radiological Peritoneal...

Savvas Saragiotis, Pieter C. Gort, Lotte J. S. Fleurkens-Ewals et al. · 0 citations
#artificial intelligence Review Apr 2026

Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging

This work presents the first deep learning approach to automatically segment 13 rPCI regions on CT and introduces an anatomically constrained pipeline that trains on merged super-regions and splits them during post-processing using TotalSegmentator landmarks at the hips and the ligament of Treitz.

Pieter C. Gort, Lotte J. S. Fleurkens-Ewals, L. D. Kampmeijer et al. · 1 citation

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