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Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.

, , , , , , и . MICCAI (5), том 12905 из Lecture Notes in Computer Science, стр. 634-643. Springer, (2021)

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Margarita Rinnert

TFF-Peptide im menschlichen Urogenitaltrakt. Uni Magdeburg, (2009)

Margarita Welte

Margarita Gieselberg

Margarita Singer

Margarita Stogiannou

 

Другие публикации лиц с тем же именем

Medical knowledge-guided deep learning for mammographic breast density classification., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images., , , , , и . ISBI, стр. 1-5. IEEE, (2024)Do pre-trained deep learning models improve computer-aided classification of digital mammograms?, , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 1057523. SPIE, (2018)Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis., , , , , , и . MICCAI (5), том 12905 из Lecture Notes in Computer Science, стр. 634-643. Springer, (2021)Deep learning of longitudinal mammogram examinations for breast cancer risk prediction., , , , , и . Pattern Recognit., (2022)Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94140M. SPIE, (2015)Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT)., , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 10952 из SPIE Proceedings, стр. 1095204. SPIE, (2019)Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109502P. SPIE, (2019)Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis., , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)