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The purpose of this web page is to share information and documents related to the activities carried out within the scope of the TÜBİTAK 1001 project numbered 121E379 titled “Development of Deep Learning Based Methodology for Breast Cancer Detection in Histopathology Images” supported by the TÜBİTAK and successfully concluded by the Histopathology Images Research Group, and the activities to be carried out within the scope of the project numbered 5250041 titled “Development of Artificial Intelligence Supported Mitosis Detection, Counting and Reporting Automation Software on Histopathological Images for Cancer Diagnosis” applied for support by TÜBİTAK within the scope of the 1505 University-Industry Cooperation Support Program.
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”Deep Learning Methodologies for Nuclei Segmentation and Mitosis Detection in Histopathologica 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 Detection and Classification from ...
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 Module" ...
Our workshop has been 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 ...