Article

Predicting Breast Cancer Events in Ductal Carcinoma In Situ (DCIS) using Generative Adversarial Network Augmented Deep Learning Model

2023-02-26

Abstract excerpt

Standard clinicopathological parameters (age, growth pattern, tumor size, margin status and grade) have been shown to have limited value in predicting recurrence in ductal carcinoma in situ (DCIS) patients. Early and accurate recurrence prediction would facilitate a more aggressive treatment policy for high-risk patients (mastectomy or adjuvant radiation therapy), and simultaneously reduce over-treatment of low-ri...

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Literature Corpus work: da1407cf-99df-5fa9-93f1-7fc2b8cb1ca3
DOI: 10.1101/2023.02.23.23286367

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