Research Presentation Session
Artificial intelligence and machine learning in breast
Lectures
1
RPS 702 - Leveraging ipsilateral dual-view information for mass detection in mammograms using deep learning
03:41Ma Jie, Shenzhen / China
2
RPS 702 - Artificial intelligence-based breast density classifier improves mammography reporting reliability
04:52A. Watanabe, Manhattan beach, CA / United States
3
RPS 702 - MRI-based radiomics for prediction to neoadjuvant chemotherapy in breast cancer: a referral centre analysis
04:56F. Pesapane, Milan / Italy
4
RPS 702 - Measuring short and long-term breast cancer risk by combining mammographic texture models, an AI-based CAD system, and established risk factors
04:59A. Lauritzen, Copenhagen / Denmark
5
RPS 702 - Evaluation of 3T multiparametric MRI with radiomic analysis for differentiating benign and malignant breast lesions
04:42A. Vamvakas, Larissa / Greece
6
RPS 702 - Diagnostic performance of AI for cancers registered in a mammography screening program: a retrospective analysis
04:34Y. Köylüoğlu, Istanbul / Turkey
7
RPS 702 - Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer based on the integration of tumour heterogeneity and angiogenesis properties at MRI
06:24H. Park, Ansan / Korea, Republic of
8
RPS 702 - Radiomics analysis in breast MRI for non-invasive (in situ) breast cancer characterisation: initial results
03:42G. Lavazza, Turin / Italy
9
RPS 702 - Machine learning approaches for optimization in MRI texture analysis of breast cancer to predict prognostic biomarkers and molecular subtypes
05:05H. Park, Ansan / Korea, Republic of
10
RPS 702 - DCE-MRI radiomics analysis for breast lesions characterisation
05:37M. Di Marco, Palermo / Italy
11
RPS 702 - Using AI to identify normal cases that may not need a second reader assessment in a French breast cancer screening program (BCSP): a retrospective evaluation
05:51H. Jarraya, Arras / France
12
RPS 702 - Comparison of artificial intelligence/machine learning algorithm in reporting computed radiography (CR) and digital radiography (DR) mammography studies
04:42R. Ananthasivan, Bangalore / India
13
RPS 702 - Mammographic breast density assessment via deeply aggregating bilateral context information
04:35Ma Jie, Shenzhen / China