Investigation of New Imaging Markers to Automatically Detect and Classify Lung Cancer in Computed Tomography Scans

Project: Research

Status	Finished
Effective start/end date	1/09/22 → 31/08/25

3D axial-attention for lung nodule classification
Al-Shabi, M., Shak, K. & Tan, M., Aug 2021, In: International Journal of Computer Assisted Radiology and Surgery. 16, 8, p. 1319-1324 6 p.
Research output: Contribution to journal › Article › Research › peer-review

32 Link opens in a new tab Citations (Scopus)
Gated-dilated networks for lung nodule classification in CT scans
Al-Shabi, M., Lee, H. K. & Tan, M., 2019, In: IEEE Access. 7, p. 178827-178838 12 p.
Research output: Contribution to journal › Article › Research › peer-review

Open Access
File

61 Link opens in a new tab Citations (Scopus)
Lung nodule classification using deep Local–Global networks
Al-Shabi, M., Lan, B. L., Chan, W. Y., Ng, K. H. & Tan, M., Oct 2019, In: International Journal of Computer Assisted Radiology and Surgery. 14, 10, p. 1815-1819 5 p.
Research output: Contribution to journal › Article › Research › peer-review

94 Link opens in a new tab Citations (Scopus)

Project Details