A Machine Learning Approach to Identify Previously Unconsidered Causes for Complications in Aesthetic Breast Augmentation

Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor's morphological information - ScienceDirect

Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study

KEF, Alm.del - 2022-23 (2. samling) - Bilag 228: Henvendelse af 12/4-23 fra Maia Bjørka Hansen, Svaneke, om WHO og Sundhedsstyrelsens anbefalinger vedr. nye højspændingsanlæg ifm. Energiø Bornholm

A Novel Artificial Intelligence Model for Symmetry Evaluation in Breast Cancer Patients

KEF, Alm.del - 2022-23 (2. samling) - Bilag 228: Henvendelse af 12/4-23 fra Maia Bjørka Hansen, Svaneke, om WHO og Sundhedsstyrelsens anbefalinger vedr. nye højspændingsanlæg ifm. Energiø Bornholm

Björn BEHR, Ruhr-Universität Bochum, Bochum, RUB, Department of Plastic Surgery

The Impact of Obesity on Breast Surgery Complications

A Machine Learning Approach to Identify Previously Unconsidered Causes for Complications in Aesthetic Breast Augmentation

Validating machine learning approaches for prediction of donor related complication in microsurgical breast reconstruction: a retrospective cohort study

Volume 20 Issue 2 by Western Journal of Emergency Medicine - Issuu

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

A Novel Artificial Intelligence Model for Symmetry Evaluation in Breast Cancer Patients