Mar 25, 2014 · A set of 84 features extracted from the nuclei is used in the classification by three different classifiers. The approach was tested on 450 ...
This work reports on advances in computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies.
A robust segmentation procedure giving satisfactory nuclei separation even when they are densely clustered in the image is proposed, which shows that a ...
Sep 26, 2013 · This work reports on advances in computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies. The ...
A set of 84 features extracted from the nuclei is used in the classification by three different classifiers. The approach was tested on 450 microscopic images ...
An automatic nucleus segmentation is developed on the image of breast histopathology using histogram-based thresholding (Saha et al., 2015[115]). The result ...
Aug 7, 2023 · Computerized segmentation of nuclei from histopathology images is crucial for detecting breast cancer, the most common type of cancer in ...
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Apr 13, 2021 · This study's objective was to determine if deep convolutional neural networks can be trained, with transfer learning, on a set of histopathological images ...
Nuclei segmentation for computer-aided diagnosis of breast cancer. Marek ... Improved cancer detection using computer-aided detection with diagnostic ...
Nuclei segmentation for computer-aided diagnosis of breast cancer. Published in. International Journal of Applied Mathematics & Computer Science, March 2014.