In this paper, we propose a new method based on Gaussian Mixture Model (GMM) to classify one input breast tumor image into two different classes (benign class ...
perform breast tumor image classification. In this paper, we propose a new method based on Gaussian Mixture Model (GMM) to classify one input breast tumor ...
In this thesis, a new method based on Gaussian Mixture Model (GMM) to perform the breast tumor classification into two different classes (benign class and ...
In this paper, we propose a new method based on Gaussian Mixture Model (GMM) to classify one input breast tumor image into two different classes (benign class ...
Bibliographic details on A new histogram-based breast cancer image classifier using Gaussian mixture model.
A new histogram-based breast cancer image classifier using Gaussian mixture model. Z. Li, S. Shin, S. Jeon, S. Son, and J. Pack. RACS, page 143-147.
May 28, 2020 · The Grow Cut Gaussian Mixture Model-generated segmentations for all tumors were visually validated and corrected by one of the radiologists (EJS) ...
image with the tumor contour; on the right is the ADC map with mapped tumor; (B) An example of the tumor ADC histogram fitted by two-component Gaussian mixtures ...
Missing: breast | Show results with:breast
To improve molecular stratification of patients with breast cancer, we developed the Gaussian mixture model (GMM)–based classifier. This probabilistic ...
In this paper, we aim to propose a HE technique that considers the content of the medical images and is suitable for contrast enhancement of breast thermography ...