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RadImageNet: an open radiologic deep learning research dataset for effective transfer learning

X Mei, Z Liu, PM Robson, B Marinelli… - Radiology: Artificial …, 2022 - pubs.rsna.org
Purpose To demonstrate the value of pretraining with millions of radiologic images
compared with ImageNet photographic images on downstream medical applications when …
被引用次数：146 相关文章

RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning.

X Mei, Z Liu, PM Robson, B Marinelli… - Radiology. Artificial …, 2022 - europepmc.org
Purpose To demonstrate the value of pretraining with millions of radiologic images
compared with ImageNet photographic images on downstream medical applications when …

RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning

X Mei, Z Liu, PM Robson, B Marinelli… - Radiology. Artificial …, 2022 - pubmed.ncbi.nlm.nih.gov
Purpose To demonstrate the value of pretraining with millions of radiologic images
compared with ImageNet photographic images on downstream medical applications when …

[引用][C] RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning

X Mei, Z Liu, PM Robson, B Marinelli, M Huang… - Radiology: Artificial …, 2022 - cir.nii.ac.jp
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer
Learning | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …
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[HTML][HTML] RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning

X Mei, Z Liu, PM Robson, B Marinelli… - Radiology: Artificial …, 2022 - ncbi.nlm.nih.gov
Purpose To demonstrate the value of pretraining with millions of radiologic images
compared with ImageNet photographic images on downstream medical applications when …