Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
Hussain FatakdawalaJun XuAjay BasavanhallyGyan BhanotShridar GanesanMichael D. FeldmanJohn TomaszewskiAnant MadabhushiPublished in: IEEE Trans. Biomed. Eng. (2010)
Keyphrases
- breast cancer
- level set
- geodesic active contours
- expectation maximization
- computer aided detection
- breast cancer diagnosis
- early detection
- computer aided diagnosis
- diagnosis of breast cancer
- active contours
- logistic regression
- image segmentation
- medical images
- segmentation method
- energy function
- graph cuts
- image analysis
- shape prior
- active contour model
- cell nuclei
- edge detection
- dce mri
- high resolution
- mammogram images
- multiscale