Segmentation Masks for the Mini-Mammographic Image Analysis Society (mini-MIAS) Database (CROSBI ID 282949)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
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