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The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2019)

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Julien DeAntoni

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The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes., , , , , , , , , и 10 other автор(ы). CoRR, (2019)Imperfect Segmentation Labels: How Much Do They Matter?, , и . CVII-STENT/LABELS@MICCAI, том 11043 из Lecture Notes in Computer Science, стр. 112-120. Springer, (2018)The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge., , , , , , , , , и 31 other автор(ы). CoRR, (2019)Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge., , , , , , , , , и 12 other автор(ы). Frontiers Digit. Health, (2021)Automated Classification of Dyadic Conversation Scenarios Using Autonomic Nervous System Responses., , , , и . IEEE Trans. Affect. Comput., 14 (4): 3388-3395 (октября 2023)Effects of adaptation accuracy and magnitude in affect-aware difficulty adaptation for the multi-attribute task battery., , , , и . Int. J. Hum. Comput. Stud., (марта 2024)Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI., , , , , и . NeuroImage, (мая 2023)