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Disambiguation of "Nishikawa, Robert M."

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Proposal of Semi-automatic Classification of Breast Lesions for Strain Sonoelastography Using a Dedicated CAD System.

, , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 454-460. Springer, (2016)

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Etsushi Nishikawa

Isokichi Nishikawa

Robert M Zoske

Robert M Gillenkirch

Robert M Stutz

 

Other publications of authors with the same name

A similarity learning approach to content-based image retrieval: application to digital mammography., , , , and . IEEE Trans. Med. Imaging, 23 (10): 1233-1244 (2004)Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids., , , , , , , and . Medical Imaging: Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications., , , and . IEEE Trans. Med. Imaging, 24 (3): 371-380 (2005)Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach., , and . IEEE Trans. Med. Imaging, 17 (6): 1089-1093 (1998)Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications., , , , , and . Digital Mammography / IWDM, volume 13 of Computational Imaging and Vision, page 215-220. Springer, (1998)Changes in frequency of recall recommendations of examinations depicting cancer with the availability of either priors or digital breast tomosynthesis., , , , , , , , , and 1 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 9787 of SPIE Proceedings, page 97871A. SPIE, (2016)Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT)., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 1095204. SPIE, (2019)Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography.. Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 46-53. Springer, (2006)Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification., and . IEEE Access, (2020)Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancer., and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)