Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu… - Nature medicine, 2021 - nature.com
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref.). To
achieve earlier cancer detection, health organizations worldwide recommend screening …
被引用次数：311 相关文章

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu… - 2021 - cabidigitallibrary.org
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018. To achieve
earlier cancer detection, health organizations worldwide recommend screening …

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot… - Nature …, 2021 - europepmc.org
Breast cancer remains a global challenge, causing over six hundred thousand deaths in
2018 [1]. To achieve earlier cancer detection, health organizations worldwide recommend …

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu… - paper.sciencenet.cn
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref. 1). To
achieve earlier cancer detection, health organizations worldwide recommend screening …

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot… - arXiv preprint arXiv …, 2019 - arxiv.org
Breast cancer remains a global challenge, causing over 1 million deaths globally in 2018.
To achieve earlier breast cancer detection, screening x-ray mammography is recommended …

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

W Lotter, AR Diab, B Haslam, JG Kim… - Nature …, 2021 - pubmed.ncbi.nlm.nih.gov
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref. 1). To
achieve earlier cancer detection, health organizations worldwide recommend screening …

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu… - Nature Medicine, 2021 - go.gale.com
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref.. sup.
1). To achieve earlier cancer detection, health organizations worldwide recommend …

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

W Lotter, A Rahman Diab, B Haslam, JG Kim… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Breast cancer remains a global challenge, causing over 1 million deaths globally in 2018.
To achieve earlier breast cancer detection, screening x-ray mammography is recommended …
[PDF] researchgate.net

[PDF][PDF] Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu… - researchgate.net
Breast cancer remains a global challenge, causing over 1 million deaths globally in 2018 [8].
To achieve earlier breast cancer detection, screening x-ray mammography is recommended …

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

W Lotter, AR Diab, B Haslam, JG Kim, G Grisot… - 2021 - repository.escholarship.umassmed …
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref.(1)). To
achieve earlier cancer detection, health organizations worldwide recommend screening …