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4 in total

1. Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network-Based Machine Learning Approach Using Mammographic Image Data.

Authors: Richard Ha; Simukayi Mutasa; Eduardo Pascual Van Sant; Jenika Karcich; Christine Chin; Michael Z Liu; Sachin Jambawalikar
Journal: AJR Am J Roentgenol Date: 2019-03-12 Impact factor: 3.959

2. Atypical ductal hyperplasia bordering on DCIS on core biopsy is associated with higher risk of upgrade than conventional atypical ductal hyperplasia.

Authors: Kate R Pawloski; Nicole Christian; Andrea Knezevic; Hannah Y Wen; Kimberly J Van Zee; Monica Morrow; Audree B Tadros
Journal: Breast Cancer Res Treat Date: 2020-08-28 Impact factor: 4.872

3. Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade.

Authors: Roberto Lo Gullo; Kerri Vincenti; Carolina Rossi Saccarelli; Peter Gibbs; Michael J Fox; Isaac Daimiel; Danny F Martinez; Maxine S Jochelson; Elizabeth A Morris; Jeffrey S Reiner; Katja Pinker
Journal: Breast Cancer Res Treat Date: 2021-01-20 Impact factor: 4.872

4. Prognostic Significance of Lobular Carcinoma In-Situ (LCIS) Diagnosed Alongside Invasive Breast Cancer.

Authors: Maxwell C Braasch; Amanda L Amin; Christa R Balanoff; Jamie L Wagner; Kelsey E Larson
Journal: Breast Cancer (Auckl) Date: 2022-03-07

4 in total