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Inhomogeneous Image Segmentation Using Hybrid Active Contours Model With Application to Breast Tumor Detectionopen access

Authors
Niaz, AsimMemon, Asif AzizRana, KaynatJoshi, AditiSoomro, ShafiullahKang, Jin SeokChoi, Kwang Nam
Issue Date
Oct-2020
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Image segmentation; Nonhomogeneous media; Level set; Mammography; Active contours; Cancer; Breast; Active contours; bias field; image segmentation; intensity inhomogeneity; level set
Citation
IEEE ACCESS, v.8, pp 186851 - 186861
Pages
11
Journal Title
IEEE ACCESS
Volume
8
Start Page
186851
End Page
186861
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47955
DOI
10.1109/ACCESS.2020.3029333
ISSN
2169-3536
Abstract
The most fatal and frequent cancer amongst women is breast cancer. Mammography provides timely detection of lumps and masses in breast tissue, but effective diagnosis requires accurately identifying malignant tumor boundaries, which remains challenging, particularly for images with inhomogeneous regions. Therefore, we propose an active contour method based on a reformed combined local and global fitted function to address breast tumor segmentation. This combined function is strengthened by a proposed average energy driving function to capture obscure boundaries for regions of interest more precisely from inhomogeneous images. Including a p-Laplace term eliminates reinitialization requirements and suppresses false contours in the segmentation. Bias field signal, which causes image homogeneity corruption, is estimated by bias field initialization to ensure independence from the initial contour position. Local and global fitted models are incorporated by introducing bias fields within them. The proposed method was tested on the MIAS MiniMammographic Database, with quantitative analysis to calculate its accuracy, effectiveness, and efficiency. Experimentation confirmed the proposed method provided superior results compared with previous state-of-the-art methods.
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Choi, Kwang Nam
소프트웨어대학 (소프트웨어학부)
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