About
Contact & Profiles
A5055627995
Research Areas
- Medical Image Segmentation Techniques
- Image Processing Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Tianjin University
2020
This paper proposes an improved region-based active contour model for segmenting magnetic resonance imaging (MRI) images of brain tuberculosis by combining a global energy fitting term and local term. First, is utilized to extract image information, which guides the evolving curve globally approximates intensity inside outside contour. Second, proposed describe inhomogeneity based on variance adaptive difference. Third, Fuzzy C-Means (FCM) clustering method applied pre-segment MRI...
10.1109/access.2020.3016746
article
EN
cc-by
IEEE Access
2020-01-01
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