Home - Vision Research Group

YTU VISION

We are a research group working in the fields of computer vision and artificial intelligence. Our primary research areas include “Segmentation and Computer-Aided Diagnosis in Medical Imaging” and “Computer-Aided Clinical Decision Support Systems.”
JOIN US

Students wishing to join the group and postdoctoral researchers can find announcements for the required fields on the Future Member page.

Details

About the Research Group

We are a research group specializing in advanced artificial intelligence applications in health sciences, with deep expertise particularly in the field of medical imaging. We pursue our work with a vision grounded in scientific productivity and academic excellence.

Led by Prof. Dr. Songül Varlı, our group embraces interdisciplinary approaches and contributes to the scientific community with innovative perspectives and a strong organizational structure.

To date, our group has produced over 30 articles and more than 85 conference papers on national and international platforms. These publications stand out not only in terms of quantity but also in quality, offering up-to-date and original content across a wide spectrum—from health sciences and AI applications to digital pathology and data science.

Looking to the future, our primary priorities include increasing scientific output, mentoring young researchers, and fostering international academic collaborations. With a firm commitment to the light of science, our Publication Group continues to advance and contribute to the field.

Latest Publications

ConvNext Mitosis Identification—You Only Look Once (CNMI-YOLO): Domain Adaptive and Robust Mitosis Identification in Digital Pathology

Topuz, Y., Yıldız, S., & Varlı, S.

Publisher's website

Mel-DEPTHS: a benchmark dataset for epidermis and tumor segmentation for melanoma staging

Topuz, Y., Gökcan, M. T., Men, A., Yıldız, S., Sertbudak, İ., Kaymaz, S., Gökbaşı, Ö., Urgancı, N., Çalık, N., Aygın Ülgen, Ö. & Varlı, S

Publisher's website

PROJECTS

Tumor Stage Prediction and Mitosis Detection with Deep Learning in Melanoma Histopathology Images

Skin cancer is one of the most common types of cancer worldwide, and its incidence continues to increase every day.

Cartilage Tissue and Meniscus Segmentation and Quantification in Knee Joint MR Images

The primary function of the meniscus is to facilitate smooth joint mobility and reduce friction in the knee joint.

Cell Nuclei Segmentation in Histological Images Using Deep Learning

The goal is to perform both instance‑level and semantic segmentation of cell nuclei using deep learning methods.

Computer-Aided MRI Analysis in Legg–Calvé–Perthes Disease

Legg–Calvé–Perthes disease is a painful hip‑joint disorder observed in early childhood within pediatric orthopedics.

30+

JOURNAL ARTICLE

85+

CONFERENCE PAPERS

10+

TEAM MEMBER

Research Areas

YTU Vision Group is a multidisciplinary research community specialized in computer vision and deep learning. It brings together researchers from various disciplines such as computer engineering, biomedical engineering, medicine, and statistics.
Our areas of expertise cover a wide range of AI-powered solutions in healthcare:

Radiological Image Processing: Advanced analysis of CT, MRI, and X-ray scans for the automated detection of nodules, lesions, and other abnormalities.
Digital Pathology: AI-based segmentation of tumor regions and cellular structures to enhance pathology workflows and improve diagnostic precision.
Clinical Decision Support Systems: Development of intelligent models for the analysis of clinical data to assist healthcare professionals in decision-making and to improve patient outcomes.

Yildiz Technical University

Established in 1911, this public institution is one of Turkey’s oldest and most prestigious universities, with a strong focus on engineering, science, and technology. Over the years, it has become a globally recognized center of excellence, offering high-quality education and research facilities.

Currently, the university serves approximately 36,000 students across undergraduate, master’s, and doctoral programs. These academic activities are supported by a robust faculty of around 1,500 members, including many distinguished professors, experienced researchers, and industry experts.

OUR TEAM

VIEM ALL

YTU VISION

JOIN US