| Autor: |
A. A. Kolchev, I. V. Kliouchkin, D. Pasynkov, O.O. Pasynkova, I. A. Egoshin |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS). |
| DOI: |
10.1109/comcas.2017.8244764 |
| Popis: |
We developed the nested contour algorithm (NCA) — a segmentation method for X-ray mammography images and tested it on a set of 1532 images of 356 women with morphologically proven breast cancer of various characteristics located on different density background. As a result NCA correctly marked 48 of 52 (92.31 %) star-like lesions, 12 of 14 (85.71 %) architectural distortions, 51 of 58 (87.93 %) lesions with irregular shape and unclear margin, all 18 lobular and round lesions, 17 of 18 (94.4 %) partially visualized lesions, 13 of 18 (72.2 %) asymmetric areas and 7 of 16 (43.8 %) unclearly visible or invisible lesions. Overall sensitivity of NCA in our set was 90.73 % (323 of 356 cases). The mean rate of false-positive marks was 1.3 per image — for ACR A-B mammograms and 1.8 — for ACR C-D mammograms. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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