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Fully automated nipple detection in digital breast tomosynthesis.

, , , , , , and . Comput. Methods Programs Biomed., (2017)

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Detection method of visible and invisible nipples on digital breast tomosynthesis., , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94132O. SPIE, (2015)Screening mammography for second breast cancers in women with history of early-stage breast cancer: factors and causes associated with non-detection., , , , , and . BMC Medical Imaging, 19 (1): 2:1-2:9 (2019)Simplified false-positive reduction in computer-aided detection scheme of clustered microcalcifications in digital breast tomosynthesis., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941426. SPIE, (2015)Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography., , , , , , , , , and 3 other author(s). CoRR, (2017)Fully automated nipple detection in digital breast tomosynthesis., , , , , , and . Comput. Methods Programs Biomed., (2017)The role of MRI and clinicopathologic features in predicting the invasive component of biopsy-confirmed ductal carcinoma in situ., , , , , and . BMC Medical Imaging, 20 (1): 95 (2020)Deep Learning Diffuse Optical Tomography., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 39 (4): 877-887 (2020)Simplified computer-aided detection scheme of microcalcification clusters in digital breast tomosynthesis images., , , , , and . EMBC, page 1070-1073. IEEE, (2016)Diagnostic performance of standard breast MR imaging compared to dedicated axillary MR imaging in the evaluation of axillary lymph node., , , , , and . BMC Medical Imaging, 20 (1): 45 (2020)Radial scars/complex sclerosing lesions of the breast: radiologic and clinicopathologic correlation., , , , , , and . BMC Medical Imaging, 18 (1): 39:1-39:8 (2018)