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Predicting the Benefit of Using CADe in Screening Mammography.

, и . Digital Mammography / IWDM, том 8539 из Lecture Notes in Computer Science, стр. 44-49. Springer, (2014)

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Etsushi Nishikawa

Isokichi Nishikawa

Robert M Zoske

Robert M Stutz

Robert M Gillenkirch

 

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Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT)., , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 10952 из SPIE Proceedings, стр. 1095204. SPIE, (2019)Changes in frequency of recall recommendations of examinations depicting cancer with the availability of either priors or digital breast tomosynthesis., , , , , , , , , и 1 other автор(ы). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 9787 из SPIE Proceedings, стр. 97871A. SPIE, (2016)Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications., , , , , и . Digital Mammography / IWDM, том 13 из Computational Imaging and Vision, стр. 215-220. Springer, (1998)A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications., , , и . IEEE Trans. Med. Imaging, 24 (3): 371-380 (2005)Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach., , и . IEEE Trans. Med. Imaging, 17 (6): 1089-1093 (1998)A similarity learning approach to content-based image retrieval: application to digital mammography., , , , и . IEEE Trans. Med. Imaging, 23 (10): 1233-1244 (2004)Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications., , и . IEEE Trans. Med. Imaging, 36 (5): 1162-1171 (2017)Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids., , , , , , , и . Medical Imaging: Image Processing, том 4684 из SPIE Proceedings, SPIE, (2002)Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography.. Digital Mammography / IWDM, том 4046 из Lecture Notes in Computer Science, стр. 46-53. Springer, (2006)Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification., и . IEEE Access, (2020)