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2.75D: Boosting learning by representing 3D Medical imaging to 2D
  features for small data
v1v2v3 (latest)

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data

Biomedical Signal Processing and Control (BSPC), 2020
11 February 2020
Xin Eric Wang
Ruisheng Su
Weiyi Xie
Wen Wang
Yi Xu
R. Mann
Jungong Han
Longxuan Zhao
    3DPC
ArXiv (abs)PDFHTML

Papers citing "2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data"

2 / 2 papers shown
DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
Meihua Zhou
Xinyu Tong
Jiarui Zhao
Min Cheng
Li Yang
Lei Tian
Nan Wan
418
1
0
19 Nov 2025
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful
  Representation from X-Ray Images
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representation from X-Ray Images
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
287
1
0
01 Nov 2022
1
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