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Lesion Detection by Efficiently Bridging 3D Context.

, , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 470-478. Springer, (2019)

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Computer-Assisted Detection of Pulmonary Nodules: Preliminary Observations Using a Prototype System with Multidetector-Row CT Data Sets., , , and . J. Digital Imaging, 16 (3): 251-261 (2003)The future of computer graphics: an enabling technology?, , , , and . SIGGRAPH Abstracts and Applications, page 93-94. ACM, (2002)Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans., , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 222-230. Springer, (2017)Deep Distance Transform for Tubular Structure Segmentation in CT Scans., , , , , , , and . CVPR, page 3832-3841. Computer Vision Foundation / IEEE, (2020)Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation., , , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 656-666. Springer, (2020)Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors., , , , and . CoRR, (2020)A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation., , , , and . 3DV, page 682-690. IEEE Computer Society, (2018)Volumetric rendering of computed tomography data: principles and techniques., , , and . IEEE Computer Graphics and Applications, 10 (2): 24-32 (1990)The internet as a potential source of information about radiological procedures for patients., , and . J. Digital Imaging, 13 (1): 46-47 (2000)Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation., , , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 155-163. Springer, (2019)