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

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

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 reg...

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Bibliographic Details
Main Authors: Asim Niaz, Asif Aziz Memon, Kaynat Rana, Aditi Joshi, Shafiullah Soomro, Jin Seok Kang, Kwang Nam Choi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Active contours
bias field
image segmentation
intensity inhomogeneity
level set
Online Access:https://ieeexplore.ieee.org/document/9216138/

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