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A new semi-supervised self-training method for lung cancer prediction

A new semi-supervised self-training method for lung cancer prediction

17 December 2020
Kelvin Shak
M. Al-Shabi
Andre Liew
B. Lan
W. Chan
K. Ng
Maxine Tan
ArXiv (abs)PDFHTML

Papers citing "A new semi-supervised self-training method for lung cancer prediction"

2 / 2 papers shown
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D
  MRI using Noisy Student-based Training
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training
Engin Dikici
X. V. Nguyen
M. Bigelow
J. Ryu
Luciano M Prevedello
138
8
0
10 Nov 2021
3D Axial-Attention for Lung Nodule Classification
3D Axial-Attention for Lung Nodule ClassificationInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2020
M. Al-Shabi
Kelvin Shak
Maxine Tan
MedIm
255
23
0
28 Dec 2020
1
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