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Multiview mammographic mass detection based on a single shot detection system.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500E. SPIE, (2019)

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Application of support vector machines to breast cancer screening using mammogram and clinical history data., , , , , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers., , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features., , , and . Medical Imaging: Image Processing, volume 2710 of SPIE Proceedings, SPIE, (1996)Self-organizing maps for analyzing mammographic findings., and . ICNN, page 2472-2474. IEEE, (1997)Ipsilateral Lesion Detection Refinement for Tomosynthesis., , , , , , , , and . IEEE Trans. Medical Imaging, 42 (10): 3080-3090 (October 2023)Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Application of a new evolutionary programming/adaptive boosting hybrid to breast cancer diagnosis., , and . CEC, page 1436-1442. IEEE, (2000)Classification of chest CT using case-level weak supervision., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095017. SPIE, (2019)Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500V. SPIE, (2019)Multi-view DBT grid-attention detection framework., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)