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Toygar Tanyel

Showing results (1-10 of 4) with videos related to

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Cancers|August 26, 2023
Deciphering Machine Learning Decisions to Distinguish between Posterior Fossa Tumor Types Using MRI Features: What Do the Data Tell Us?Toygar Tanyel, Chandran Nadarajan, Nguyen Minh Duc, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|April 29, 2024
Choosing the right artificial intelligence solutions for your radiology department: key factors to considerDeniz Alis, Toygar Tanyel, Emine Meltem, et al.
Insights Into Imaging|March 19, 2025
Annotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammographyOzden Camurdan, Toygar Tanyel, Esma Aktufan Cerekci, et al.
European Journal of Radiology|February 16, 2024
Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysisEsma Cerekci, Deniz Alis, Nurper Denizoglu, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Cancers|August 26, 2023
Deciphering Machine Learning Decisions to Distinguish between Posterior Fossa Tumor Types Using MRI Features: What Do the Data Tell Us?Toygar Tanyel, Chandran Nadarajan, Nguyen Minh Duc, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|April 29, 2024
Choosing the right artificial intelligence solutions for your radiology department: key factors to considerDeniz Alis, Toygar Tanyel, Emine Meltem, et al.
Insights Into Imaging|March 19, 2025
Annotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammographyOzden Camurdan, Toygar Tanyel, Esma Aktufan Cerekci, et al.
European Journal of Radiology|February 16, 2024
Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysisEsma Cerekci, Deniz Alis, Nurper Denizoglu, et al.
Pageof 1