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pro vyhledávání: '"Jordan A. Sweer"'
Publikováno v:
IEEE Trans Med Imaging
We present a deep learning framework for wide-field, content-aware estimation of absorption and scattering coefficients of tissues, called Generative Adversarial Network Prediction of Optical Properties (GANPOP). Spatial frequency domain imaging is u
Autor:
Steven Tilley, J. Webster Stayman, Richard J. Chen, Jordan A. Sweer, Nicholas J. Durr, Norman S. Nishioka, Daniel Borders, Faisal Mahmood
Publikováno v:
Multimodal Biomedical Imaging XIV.
Colorectal cancer is the second leading cause of cancer deaths in the United States and causes over 50,000 deaths annually. The standard of care for colorectal cancer detection and prevention is an optical colonoscopy and polypectomy. However, over 2
Publikováno v:
J Biophotonics
As the incidence of esophageal adenocarcinoma continues to rise, there is a need for improved imaging technologies with contrast to abnormal esophageal tissues. To inform the design of optical technologies that meet this need, we characterize the spa
Autor:
Jordan A. Sweer, Nicholas J. Durr
Publikováno v:
Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis.
For decades, the incidence of esophageal adenocarcinoma (EAC) has risen, while the long-term survival rate remains poor. The progression of EAC is marked by superficial changes in cell and tissue microstructure. Early detection of EAC can reduce mort