mammography

Artificial Intelligence to Help Radiologists in the Early Detection of Breast Cancer with Mammography and Breast Tomosynthesis

During the COVID-19 pandemic, routine breast cancer screening is largely being put on hold in many countries. Although it is not directly related, Sars-CoV-2...

ESR

2 months ago

AI in Risk-Based Breast Screening

Artificial intelligence tools and technology are becoming more ingrained in the radiological discipline, but only recently in breast imaging, more...

ESR

3 months ago

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study

The aim of this retrospective study was to establish and validate a radiomics nomogram that was based on contrast-enhanced spectral mammography (CESM) for the...

European Radiology

3 months ago

AI for reading screening mammograms: the need for circumspection

AI is viewed as an emerging technology for reading screening mammograms. However, most studies done so far have adopted retrospective designs that cannot...

Philippe Autier

6 months ago

Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification

The authors of this study evaluated the impact of utilizing digital breast tomosynthesis (DBT) and/or full-field digital mammography (FFDM), and different...

European Radiology

12 months ago

Fully Interlinked for Rapid Data Exchange in Mammography

In the region of southern Denmark, a broad network of hospitals provides medical services for the 1.2 million residents of South Jutland and the island of...

ESR

12 months ago

Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features

Despite the encouraging results, more studies are needed in order to further evaluate these preliminary findings and to find to what extent radiomics and AI...

Alberto Tagliafico

1 year ago

An interdisciplinary team for creating meaningful applications

50,000. That is the number of images a radiologist can see every day. A figure almost impossible to grasp or believe, processing such a large amount of data...

ECR 2019 AIX

2 years ago