Abstract #0523

IRIS-DL: A Deep Learning Software Tool for Identifying Genetic Mutations in Gliomas and Meningiomas

Abdullah Bas¹, Banu Sacli-Bilmez¹, Buse Buz-Yalug¹, Esra Sumer¹, Sena Azamat¹, Gokce Hale Hatay¹, Ayca Ersen Danyeli^2,3, Ozge Can^2,4, Koray Ozduman^2,5, Alp Dincer^2,6, and Esin Ozturk-Isik^1,2

¹Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, ²Brain Tumor Research Group, Acibadem University, Istanbul, Turkey, ³Department of Medical Pathology, Acibadem University, Istanbul, Turkey, ⁴Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey, ⁵Department of Neurosurgery, Acibadem University, Istanbul, Turkey, ⁶Department of Radiology, Acıbadem University, Istanbul, Turkey

Synopsis

Keywords: Tumors, Machine Learning/Artificial Intelligence, Deep LearningIntelligent Radiological Imaging Systems (IRIS)-DL is a deep learning software tool that includes libraries for segmenting tumor regions and identifying several genetic mutations in gliomas and meningiomas. The tool has three modules, which are “Model Library”, “Trainer”, and “Plotter”. In the “Model Library”, the users could run pre-trained models on their local data. The “Trainer” module is for creating custom AI (conventional machine learning, artificial neural networks, and deep learning) models on the user data. Lastly, “Plotter” module is for data visualization and explorative data analysis.

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