Lesion detection in digital breast tomosynthesis: method, experiences and results of participating to the DBTex challenge-Reference-Cited by-同舟云学术

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Lesion detection in digital breast tomosynthesis: method, experiences and results of participating to the DBTex challenge

Published:2022-07-13 Issue: Volume: Page:
ISSN:
Container-title:16th International Workshop on Breast Imaging (IWBI2022)
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Author:

Martí Robert,del Campo Pablo G.,Vidal Joel,Cufí Xavier,Martí Joan,Chevalier Margarita,Freixenet Jordi

Publisher

SPIE

Reference9 articles.

1. Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review

2. A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images

3. The oncology medical image database (OMI-DB)

4. Faster r-cnn: Towards real-time object detection with region proposal networks;Ren;Advances in Neural Information Processing Systems,2015

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1. Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images;Biocybernetics and Biomedical Engineering;2024-07

2. Added value of feature uncertainty in a radiomic analysis of contrast-enhanced digital mammography boosted by deep learning;17th International Workshop on Breast Imaging (IWBI 2024);2024-05-29

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