Deep Learning Assessment of Breast Terminal Duct Lobular Unit Involution: Towards Automated Prediction of Breast Cancer Risk

PLoS ONE - United States
doi 10.1371/journal.pone.0231653
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

A Deep Learning Mammography-Based Model for Improved Breast Cancer Risk Prediction

Radiology
Nuclear MedicineRadiologyImaging
2019English

Prediction of Breast Cancer Risk by Aberrant Methylation in Mammary Duct Lavage

2004English

Lobular Breast Cancer Series: Imaging

Breast Cancer Research
Cancer ResearchOncology
2015English

Benign Breast Disease: Toward Molecular Prediction of Breast Cancer Risk

2005English

Deep Learning Modeling Using Normal Mammograms for Predicting Breast Cancer Risk

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2019English

Genomic Characterization of Primary Invasive Lobular Breast Cancer

Journal of Clinical Oncology
Cancer ResearchMedicineOncology
2016English

Mammary Involution and Breast Cancer Risk: Transgenic Models and Clinical Studies

Journal of Mammary Gland Biology and Neoplasia
Cancer ResearchOncology
2009English

SNPs for Breast Cancer Risk Assessment

Oncotarget
Oncology
2017English

Triple-Negative Lobular Breast Cancer Causing Hydronephrosis

Journal of Investigative Medicine High Impact Case Reports
RiskEpidemiologyReliabilitySafetySafety ResearchQuality
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy