Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
Classification of follicular lymphoma: the effect of computer aid on pathologists grading.
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BMC Medical Informatics Decis. Mak., 2015
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study.
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Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation.
IEEE Trans. Biomed. Eng., 2010
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed.
IEEE Trans. Biomed. Eng., 2010
Effect of pathologist agreement on evaluating a computer-aided assisted system: recognizing centroblast cells in follicular lymphoma cases.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Texture classification using nonlinear color quantization: Application to histopathological image analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008