Automated Detection and Classification of Nuclei in PAX5 and H&E stained Tissue Sections of Follicular Lymphoma
HomeAutomated Detection and Classification of Nuclei in PAX5 and H&E stained Tissue Sections of Follicular Lymphoma
Abstract:
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K. Dimitropoulos, P. Barmpoutis, T. Koletsa, I. Kostopoulos, N. Grammalidis,
"Automated Detection and Classification of Nuclei in PAX5 and H&E stained Tissue Sections of Follicular Lymphoma", Signal, Image and Video Processing, SPRINGER, DOI:10.1007/s11760-016-0913-6
Visual Computing Lab
The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.