Automatic Histologic Grading for Lobular Carcinoma In Situ

Lobular carcinoma in situ (LCIS) causes pathological confusion with other non-invasive histological diagnoses. The study used computational histology to segment relevant objects from the scanned images. Within the collected images from 24 patients, the study shows the accuracy of prediction for LCIS grading. Overall predication accuracy of nuclear grading was 50.56% (p<.001).