Predicting Underestimation of Invasive Cancer in Patients with Core-Needle-Biopsy-Diagnosed Ductal Carcinoma In Situ Using Deep Learning Algorithms

The prediction of an occult invasive component in ductal carcinoma in situ (DCIS) before surgery is of clinical importance because the treatment strategies are different between pure DCIS without invasive component and upgraded DCIS. We demonstrated the potential of using deep learning models for di...

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Bibliographic Details
Main Authors: Luu-Ngoc Do, Hyo-Jae Lee, Chaeyeong Im, Jae Hyeok Park, Hyo Soon Lim, Ilwoo Park
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Tomography
Subjects:
Online Access:https://www.mdpi.com/2379-139X/9/1/1