Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
2017 · Medical Image Analysis · 1,257 citations
https://doi.org/10.1016/j.media.2017.06.015
T
Thomas de Bel
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Thomas de Bel is an academic researcher. The author has contributed to research in topics: AI in cancer detection & Radiomics and Machine Learning in Medical Imaging & Colorectal Cancer Screening and Detection. The author has an h-index of 13, co-authored 23 publications.
ORCID: 0000-0003-1635-0841Papers by this author
worksAutomated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
2020 · The Lancet Oncology · 657 citations
https://doi.org/10.1016/s1470-2045(19)30739-9
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
2021 · The Breast · 35 citations
https://doi.org/10.1016/j.breast.2021.02.007
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning
2022 · npj Breast Cancer · 14 citations
https://doi.org/10.1038/s41523-021-00378-7
Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence
2022 · Breast Cancer Research · 10 citations
https://doi.org/10.1186/s13058-022-01541-z
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