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Segmentation Masks for the Mini-Mammographic Image Analysis Society (mini-MIAS) Database (CROSBI ID 282949)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Muštra, Mario ; Štajduhar, Andrija Segmentation Masks for the Mini-Mammographic Image Analysis Society (mini-MIAS) Database // IEEE consumer electronics magazine, 9 (2020), 5; 28-33. doi: 10.1109/MCE.2020.2986799

Podaci o odgovornosti

Muštra, Mario ; Štajduhar, Andrija

engleski

Segmentation Masks for the Mini-Mammographic Image Analysis Society (mini-MIAS) Database

Computer-aided diagnosis is a fast-developing area in medical practice and relies on the appropriate preprocessing of images from two dominant acquisition technologies, analog or film-based, and digital. Preprocessing consists of intensity equalization and segmentation of various objects in images. Here, we propose a methodology for the extraction of masks from manually segmented mammograms using affordable consumer electronic devices to provide manual segmentation performed by medical professionals. The result of this work is a database of hand-drawn segmentation masks for usage with the (mini)-MIAS database mammograms. This database can be used as a benchmarking tool for testing the accuracy of automatic breast tissue, pectoral muscle, and dense tissue segmentation algorithms.

Image segmentation ; Databases ; Mammography ; Breast tissue ; Muscles ; Image edge detection

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Podaci o izdanju

9 (5)

2020.

28-33

objavljeno

2162-2248

2162-2256

10.1109/MCE.2020.2986799

Povezanost rada

Elektrotehnika, Interdisciplinarne biotehničke znanosti, Računarstvo

Poveznice
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