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Fingerprint Dive into the research topics where Shuchao Pang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Image retrieval Engineering & Materials Science
Image classification Engineering & Materials Science
Neural networks Engineering & Materials Science
Classifiers Engineering & Materials Science
Target tracking Engineering & Materials Science
Learning Medicine & Life Sciences
Neuroimaging Engineering & Materials Science
Pixels Engineering & Materials Science

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Research Outputs 2017 2019

  • 63 Citations
  • 4 h-Index
  • 4 Article
  • 2 Conference proceeding contribution

A novel fused convolutional neural network for biomedical image classification

Pang, S., Du, A., Orgun, M. & Yu, Z., Jan 2019, In : Medical & Biological Engineering & Computing. 57, 1, p. 107-121 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Image classification
Neural networks
Classifiers
Imaging techniques
Network architecture

Fast and accurate lung tumor spotting and segmentation for boundary delineation on CT slices in a coarse-to-fine framework

Pang, S., Du, A., He, X., Diez, J. & Orgun, M., 14 Sep 2019, (Accepted/In press) International Conference on Neural Information Processing.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

A novel biomedical image indexing and retrieval system via deep preference learning

Pang, S., Orgun, M. A. & Yu, Z., 1 May 2018, In : Computer Methods and Programs in Biomedicine. 158, p. 53-69 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Image retrieval
Learning
Databases
Technology
Image resolution

A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images

Pang, S., Yu, Z. & Orgun, M. A., Mar 2017, In : Computer Methods and Programs in Biomedicine. 140, p. 283-293 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Classifiers
Image classification
Neural networks
Neural Networks (Computer)
Learning

Deep learning to frame objects for visual target tracking

Pang, S., Coz, J. J. D., Yu, Z., Luaces, O. & Díez, J., Oct 2017, In : Engineering Applications of Artificial Intelligence. 65, p. 406-420 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Target tracking
Neural networks
Deep learning