Peng Guo photo

Peng Guo, PhD

Computational Health Research Branch
Postdoctoral Fellow

Contact Information
Building 38A - Lister Hill Center, 10S1015A

Expertise and Research Interests:

Dr. Guo received his PhD degree in Electrical Engineering from Missouri University of Science and Technology. He joined the Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH), as a postdoctoral researcher in 2018. His research interests are in the area of biomedical image analysis and computer vision, focusing on image classification, image segmentation and deep learning/machine learning based image information retrieval. He is being mentored by Sameer Antani, PhD., Staff Scientist, Communications Engineering Branch, NLM, NIH.


Guo P, Xue Z, Mtema Z, Yeates K, Ginsburg O, Demarco M, Long LR, Schiffman M, Antani SK 2. Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening. Diagnostics (Basel) 2020 Jul 3;10(7):451.

Xue Z, Novetsky A, Einstein M, Marcus J, Befano B, Guo P, Demarco M, Wenzenten N, Long LR, Schiffman M, Antani SK A demonstration of automated visual evaluation of cervical images taken with a smartphone camera. Int J Cancer. 2020 Apr 30.

Guo P, Xue Z, Long LR, Antani SK Anatomical landmark segmentation in uterine cervix images using deep learning. Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 1131810 (2 March 2020)

Guo P, Xue Z, Long LR, Antani SK Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation. Diagnostics (Basel). 2020 Jan 14;10(1). pii: E44. doi: 10.3390/diagnostics10010044.