A Novel Method Based on GAN Using a Segmentation Module for Oligodendroglioma Pathological Image Generation

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 10; p. 3960
• Main Authors: Kweon, Juwon, Yoo, Jisang, Kim, Seungjong, Won, Jaesik, Kwon, Soonchul
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 23.05.2022; MDPI
• Subjects: Algorithms; Brain cancer; Datasets; Deep learning; digital pathology; generative adversarial networks; Medical imaging; Morphology; Noise; Pathology; pathology image synthesis; generative adversarial networks; digital pathology; pathology image synthesis

Digital pathology analysis using deep learning has been the subject of several studies. As with other medical data, pathological data are not easily obtained. Because deep learning-based image analysis requires large amounts of data, augmentation techniques are used to increase the size of pathologi...