Machine Learning in Radiomic Renal Mass Characterization: Fundamentals, Applications, Challenges, and Future Directions
Burak Koçak, Ece Ateş Kuş, Aytül Hande Yardımcı, Ceyda Turan Bektaş, Özgür Kılıçkesmez
Abstract
ML currently has a very low barrier to entry into general medical practice because of the availability of many open-source, free, and easy-to-use toolboxes. Therefore, it should not be surprising to see its related applications in renal mass characterization. A wider picture of the previous works might be beneficial to move this field forward.
Topics & Concepts
MedicineRenal massMedical physicsCharacterization (materials science)Data scienceInternal medicineNanotechnologyKidneyMaterials scienceNephrectomyComputer scienceRenal cell carcinoma treatmentRadiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis