A Deep Learning Framework for Melanocytic Lesion Classification in Whole Slide Images Using CycleGAN-Stain Normalization and ResNet-152
Januardi Nasir, Yasha Langitta
· 0 citations
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This study aims to develop a DL-based intelligent pathological diagnosis model using WSI images that can accurately distinguish benign, atypical, and malignant melanocytic lesions and is robust to staining variations, to improve the effectiveness of skin cancer diagnosis in Indonesia.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.