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Multiview mammographic mass detection based on a single shot detection system

Publication ,  Conference
Ren, Y; Hou, R; Kong, D; Geng, Y; Grimm, LJ; Marks, JR; Lo, JY
Published in: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
January 1, 2019

Detection of suspicious breast cancer lesion in screening mammography images is an important step for the downstream diagnosis the of breast cancer. A trained radiologist can usually take advantage of multi-view correlation of suspicious lesions to locate abnormalities. In this work, we investigate the feasibility of using a random image pair of the same breast from the same exam for the detection of suspicious lesions. We present a novel approach to utilize a single shot detection system inspired by You only look once (YOLO) v1 to simultaneously process a primary detection view and a secondary view for the localization of lesion in the primary detection view. We used a combination of screening exams from Duke University Hospital and OPTIMAM to conduct our experiments. The Duke dataset includes 850 positive cases and around 10,000 negative cases. The OPTIMAM dataset includes around 350 cases. We observed a consistent left shift of the Free-Response Receiver Operating Characteristic (FROC) curve in the multi-view detection model compared to the single-view detection model. This result is promising for future development of automated lesion detection systems focusing on modern full-field digital mammography (FFDM).

Duke Scholars

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

Publication Date

January 1, 2019

Volume

10950
 

Citation

APA
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ICMJE
MLA
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Ren, Y., Hou, R., Kong, D., Geng, Y., Grimm, L. J., Marks, J. R., & Lo, J. Y. (2019). Multiview mammographic mass detection based on a single shot detection system. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 10950). https://doi.org/10.1117/12.2513136
Ren, Y., R. Hou, D. Kong, Y. Geng, L. J. Grimm, J. R. Marks, and J. Y. Lo. “Multiview mammographic mass detection based on a single shot detection system.” In Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 10950, 2019. https://doi.org/10.1117/12.2513136.
Ren Y, Hou R, Kong D, Geng Y, Grimm LJ, Marks JR, et al. Multiview mammographic mass detection based on a single shot detection system. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2019.
Ren, Y., et al. “Multiview mammographic mass detection based on a single shot detection system.” Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10950, 2019. Scopus, doi:10.1117/12.2513136.
Ren Y, Hou R, Kong D, Geng Y, Grimm LJ, Marks JR, Lo JY. Multiview mammographic mass detection based on a single shot detection system. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2019.

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

Publication Date

January 1, 2019

Volume

10950