Şaban Öztürk
Şaban Öztürk publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Advanced Image and Video Retrieval Techniques.
- World rank
- #250,203 of 7,710,434 ranked researchers
- Rank in Türkiye
- #633 of 117,622
- Works
- 99
- Citations
- 3.1k
- Citations per work
- 30.8
What does Şaban Öztürk research?
Şaban Öztürk's work is mostly in Computer Science (39%), Medicine (17%), Engineering (11%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences4949.9%
- Computer Science3939.1%
- Engineering1110.8%
- Everything else3333.3%
- Health Sciences1716.8%
- Medicine1716.8%
- 1Computer Vision and Pattern Recognition23% of their works
- 2Radiology, Nuclear Medicine and Imaging17% of their works
- 3Artificial Intelligence16% of their works
- 4Media Technology4% of their works
- 5Electrical and Electronic Engineering4% of their works
- 6Aerospace Engineering3% of their works
Research topics
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Advanced Image and Video Retrieval Techniques
- COVID-19 diagnosis using AI
- Image Retrieval and Classification Techniques
- Digital Imaging for Blood Diseases
- Industrial Vision Systems and Defect Detection
- Brain Tumor Detection and Classification
Which keywords describe Şaban Öztürk's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Imaging, Medical Image Analysis, Feature Extraction, Computer-Aided Detection and Histopathology Images.
- MRI
- Machine Vision
- Malaria Parasite Detection
- Shape Matching
- Local Descriptors
- Chest X-Ray
- Radiomics
- Transfer Learning
- Histopathology Images
- Feature Extraction
- Medical Imaging
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Medical Image Analysis
- Computer-Aided Detection
- Texture Analysis
- Quantitative Analysis
- COVID-19
- Feature Matching
- Content-Based Image Retrieval
- Leukemia Classification
- Fabric Defect Detection
- Brain Tumor
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 24 words, with their numbers
- Machine Learning695 topics
- Deep Learning675 topics
- Convolutional Neural Networks493 topics
- Medical Imaging363 topics
- Medical Image Analysis352 topics
- Feature Extraction313 topics
- Computer-Aided Detection261 topic
- Histopathology Images261 topic
- Texture Analysis232 topics
- Transfer Learning202 topics
- Quantitative Analysis161 topic
- Radiomics161 topic
- COVID-19141 topic
- Chest X-Ray141 topic
- Feature Matching141 topic
- Local Descriptors141 topic
- Content-Based Image Retrieval121 topic
- Shape Matching121 topic
- Leukemia Classification91 topic
- Malaria Parasite Detection91 topic
- Fabric Defect Detection71 topic
- Machine Vision71 topic
- Brain Tumor61 topic
- MRI61 topic
Where does Şaban Öztürk work?
Şaban Öztürk's main affiliation in the publication record is Amasya Üniversitesi, Türkiye.
How many publications and citations does Şaban Öztürk have?
OpenAlex counts 99 works and 3,052 citations for Şaban Öztürk, an h-index of 29, ranking #250,203 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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