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Graph-based automatic detection and classification of lesion changes in pairs of CT studies for oncology follow-up.

, , , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (2): 241-251 (February 2024)

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MC3DU-Net: a multisequence cascaded pipeline for the detection and segmentation of pancreatic cysts in MRI., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (3): 423-432 (March 2024)Towards Learning Spiculation Score of the Masses in Mammography Images., , , , and . Digital Mammography / IWDM, volume 6136 of Lecture Notes in Computer Science, page 272-279. Springer, (2010)Detecting Low-Conspicuity Mammographic Findings - The Real Added Value of CAD., , and . Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 673-681. Springer, (2012)Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach., , , , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 358-365. Springer, (2008)Graph-based automatic detection and classification of lesion changes in pairs of CT studies for oncology follow-up., , , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (2): 241-251 (February 2024)Is CAD Able to Assist in the Detection of Subtle Breast Findings - Lobular Cancers, and T1a/T1b Masses in Dense Breasts?, , , , , , , and . Digital Mammography / IWDM, volume 6136 of Lecture Notes in Computer Science, page 474-480. Springer, (2010)Interactive Quantitative Characterization of Micro-Calcifications on Digitized Film-Screen Mammograms., , , , , and . Digital Mammography / IWDM, volume 13 of Computational Imaging and Vision, page 221-224. Springer, (1998)Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT Studies., , , and . MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 106-115. Springer, (2023)Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?., , , , , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 504-509. Springer, (2008)Computerized Classification Can Reduce Unnecessary Biopsies in BI-RADS Category 4A Lesions., , , , , and . Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 76-83. Springer, (2006)