TUSCAN: Tumor segmentation and classification analysis in spatial transcriptomics
Fig 2
Benchmark evaluation and comparison with other methods.
Pathologist-annotated histology images are in the left panel. Tumor sections of four human cancer samples identified by TUSCAN, TESLA, BayesSpace, CopyKat, SpatialInferCNV, and SCEVAN are marked in red. (A) Human breast cancer (Ductal Carcinoma in Situ). (B) Human breast cancer (Block A, Section 1). (C) Human prostate cancer. (D) Human epidermal growth factor receptor 2 + breast cancer, patient B.