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ABOUT US
The purpose of this web protal is to share information and documents related to the activities carried out in the project titled “Development of Artificial Intelligence-Assisted Mitosis Detection, Counting and Reporting Automation Software on Histopathological Images for Cancer Diagnosis” supported by the Histopathology Images Research Group by TUBITAK TEYDEB within the scope of the “1505 – University-Industry Collaboration Support Program”.
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GROUP MEMBERS
”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 ...