3D Breast Cancer Segmentation in DCE‐MRI Using Deep Learning With Weak Annotation

GE Park, SH Kim, Y Nam, J Kang… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Deep learning models require large‐scale training to perform confidently, but
obtaining annotated datasets in medical imaging is challenging. Weak annotation has …
被引用次数：4 相关文章

3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation

GE Park, SH Kim, Y Nam, J Kang… - Journal of Magnetic …, 2024 - cuk.elsevierpure.com
Background: Deep learning models require large-scale training to perform confidently, but
obtaining annotated datasets in medical imaging is challenging. Weak annotation has …

3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation

GE Park, SH Kim, Y Nam, J Kang… - Journal of magnetic …, 2024 - pubmed.ncbi.nlm.nih.gov
Background Deep learning models require large-scale training to perform confidently, but
obtaining annotated datasets in medical imaging is challenging. Weak annotation has …

3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.

GE Park, SH Kim, Y Nam, J Kang, M Park… - Journal of Magnetic …, 2023 - europepmc.org
Background Deep learning models require large-scale training to perform confidently, but
obtaining annotated datasets in medical imaging is challenging. Weak annotation has …