Article

Automatic assessment of mammographic density using a deep transfer learning method

2022-09-02

Abstract excerpt

<h4>Purpose</h4> Mammographic breast density is one of the strongest risk factors for cancer. Density assessed by radiologists using visual analogue scales has been shown to provide better risk predictions than other methods. Our purpose is to build automated models using deep learning and train on radiologist scores to make accurate and consistent predictions. <h4>Approach</h4> We used a data-set of almost 160,00...

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Literature Corpus work: 0eae833b-6950-5793-8c3f-9d859a5a2f8e
DOI: 10.1101/2022.08.31.22279460

Open publication

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