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Automated segmentation of mesothelioma volume on CT scan.

, , , , , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)

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An Automatic Method for Ground Glass Opacity Nodule Detection and Segmentation from CT Studies., , , , , and . EMBC, page 3062-3065. IEEE, (2006)Deep learning-based covert brain infarct detection from multiple MRI sequences., , , , , , , , , and 4 other author(s). Neurocomputing, (2023)Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks., , , , , , , , , and 1 other author(s). J. Digit. Imaging, 32 (4): 597-604 (2019)Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging biomarkers in oncology trials using standard-of-care CT., , , , , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Automatic Detection and Segmentation of Ground Glass Opacity Nodules., , , , , and . MICCAI (1), volume 4190 of Lecture Notes in Computer Science, page 784-791. Springer, (2006)Automated segmentation of mesothelioma volume on CT scan., , , , , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Implementation Strategy of a CNN Model Affects the Performance of CT Assessment of EGFR Mutation Status in Lung Cancer Patients., , , , , , and . IEEE Access, (2019)