A Novel Approach for Deep Learning Based Cancer Classification Based on Feature Extraction and Selection on Histopathological Images
İpek Baz, Tuğba Nur Bozkurt, Mehmet Emin Yüksel · 2025
Biopsy is the gold standard for definitive diagnosis of cancer. Since the histopathological images obtained in the biopsy process are quite large and contain too much detail, their analysis is quite difficult and time-consuming. Therefore, developing a system that can alleviate the workload of pathologists and support them in making fast and accurate diagnoses is of great importance. In this study, a method that includes feature extraction, feature ranking, feature selection and classification processes is proposed for the classification of histopathological images. The obtained results showed that the presented method is quite successful in the rapid and high-accuracy classification of histopathological images.