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Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset.

, , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

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Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing., , , , , , , , , and . J. Biomed. Informatics, (2014)Automatic ventricle detection in Computed Tomography Pulmonary Angiography., , , , , , , and . ISBI, page 1143-1146. IEEE, (2015)Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method., , , , , , , , , and 2 other author(s). MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 736-744. Springer, (2022)Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)