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Ipsilateral Lesion Detection Refinement for Tomosynthesis.

, , , , , , , , и . IEEE Trans. Medical Imaging, 42 (10): 3080-3090 (октября 2023)

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Vivien Lo

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Application of support vector machines to breast cancer screening using mammogram and clinical history data., , , , , и . Medical Imaging: Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers., , и . Medical Imaging: Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features., , , и . Medical Imaging: Image Processing, том 2710 из SPIE Proceedings, SPIE, (1996)Self-organizing maps for analyzing mammographic findings., и . ICNN, стр. 2472-2474. IEEE, (1997)Ipsilateral Lesion Detection Refinement for Tomosynthesis., , , , , , , , и . IEEE Trans. Medical Imaging, 42 (10): 3080-3090 (октября 2023)Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Application of a new evolutionary programming/adaptive boosting hybrid to breast cancer diagnosis., , и . CEC, стр. 1436-1442. IEEE, (2000)Self-organizing map for cluster analysis of a breast cancer database., , , и . Artif. Intell. Medicine, 27 (2): 113-127 (2003)Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19., , , , , , и . CoRR, (2023)Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans., , , , , , , и . CoRR, (2020)