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The purpose of this web page is to share information and documents regarding the activities to be carried out, the workshop organization to be organized and the project outputs within the scope of the project numbered 5250041 and titled “Development of Automation Software for Mitosis Detection, Counting and Reporting on Histopathological Images for Cancer Diagnosis”, which was applied for within the scope of the 1505 University-Industry Cooperation Support Program for the support of the Histopathology Images Research Group by TÜBİTAK.
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”DEEP LEARNING METHODOLOGIES FOR NUCLEI SEGMENTATION AND MITOSIS DETECTION IN HISTOPATHOLOGICAL IMAGES ANALYSIS” has been published.
Our paper titled “DEEP LEARNING METHODOLOGIES FOR NUCLEI SEGMENTATION AND MITOSIS DETECTION IN HISTOPATHOLOGICAL IMAGES ...
Our paper titled “A Hybridized Deep Learning Methodology for Mitosis Detection and Classification from Histopathology Images” has been accepted.
Our paper titled "A Hybridized Deep Learning Methodology for Mitosis ...
Our paper titled “Gland Segmentation in H&E Histopathological Images using U-Net with Attention Module” has been accepted.
Our paper titled "Gland Segmentation in H&E Histopathological Images using U-Net with Attention ...
Our workshop was completed successfully.
Our workshop "Development of Deep Learning-Based Methodology for Breast Cancer Detection ...
2 November 2023 Workshop
A workshop titled "Breast Cancer Detection in Histopathology Images" will be held on ...