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Mass detectability in dedicated breast CT: A simulation study with the application of volume noise removal.

, и . BIBE, стр. 1-6. IEEE, (2008)

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Vivien Lo

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Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance., , , , , и . Neural Networks, 21 (2-3): 427-436 (2008)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)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)Self-organizing map for cluster analysis of a breast cancer database., , , и . Artif. Intell. Medicine, 27 (2): 113-127 (2003)Development and Application of a Suite of 4-D Virtual Breast Phantoms for Optimization and Evaluation of Breast Imaging Systems., , , , , , , , и . IEEE Trans. Medical Imaging, 33 (7): 1401-1409 (2014)Ipsilateral Lesion Detection Refinement for Tomosynthesis., , , , , , , , и . IEEE Trans. Medical Imaging, 42 (10): 3080-3090 (октября 2023)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)Self-organizing maps for analyzing mammographic findings., и . ICNN, стр. 2472-2474. IEEE, (1997)