Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Christopher C. Griffith"'
Autor:
Mihir R. Patel, Martin Halicek, James V. Little, Nabil F. Saba, Zhuo Georgia Chen, Baowei Fei, Xu Wang, Christopher C. Griffith, Amy Y. Chen, Mark W. El-Deiry
Publikováno v:
Medical Imaging: Digital Pathology
Hyperspectral imaging (HSI), a non-contact optical imaging technique, has been recently used along with machine learning technique to provide diagnostic information about ex-vivo surgical specimens for optical biopsy. The computer-aided diagnostic ap
Autor:
Baowei Fei, Christopher C. Griffith, Xu Wang, Amy Y. Chen, Martin Halicek, James V. Little, Mihir R. Patel
Publikováno v:
Medical Imaging: Image-Guided Procedures
One of the largest factors affecting disease recurrence after surgical cancer resection is negative surgical margins. Hyperspectral imaging (HSI) is an optical imaging technique with potential to serve as a computer aided diagnostic tool for identify
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
Autor:
Amy Y. Chen, James V. Little, Baowei Fei, Xu Wang, Mihir R. Patel, Mark W. El-Deiry, Martin Halicek, Christopher C. Griffith
Publikováno v:
Journal of Biomedical Optics
Successful outcomes of surgical cancer resection necessitate negative, cancer-free surgical margins. Currently, tissue samples are sent to pathology for diagnostic confirmation. Hyperspectral imaging (HSI) is an emerging, non-contact optical imaging
Autor:
Guolan Lu, Christopher C. Griffith, Mark W. El-Diery, James V. Little, Mihir R. Patel, Baowei Fei, Xu Wang, Amy Y. Chen, Hongzheng Zhang
A label-free, hyperspectral imaging (HSI) approach has been proposed for tumor margin assessment. HSI data, i.e., hypercube (x,y,λ), consist of a series of high-resolution images of the same field of view that are acquired at different wavelengths.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fdad50e01c3f19cb18a27c451173641
https://europepmc.org/articles/PMC5572439/
https://europepmc.org/articles/PMC5572439/
Autor:
James V. Little, Baowei Fei, Xu Wang, Kelly R. Magliocca, Amy Y. Chen, Hongzheng Zhang, Mihir R. Patel, Guolan Lu, Mark W. El-Deiry, Martin Halicek, Christopher C. Griffith
Publikováno v:
EMBC
Hyperspectral imaging (HSI) is a relatively new modality in medicine and can have many potential applications. In this study, we developed label-free hyperspectral imaging for tumor margin assessment. HSI data, hypercube (x,y,λ), consists of a serie
Autor:
Hongzheng Zhang, Christopher C. Griffith, Mark W. El-Deiry, Amy Y. Chen, James V. Little, Guolan Lu, Baowei Fei, Xu Wang, Mihir R. Patel
Publikováno v:
Clinical cancer research : an official journal of the American Association for Cancer Research. 23(18)
Purpose: This study intends to investigate the feasibility of using hyperspectral imaging (HSI) to detect and delineate cancers in fresh, surgical specimens of patients with head and neck cancers. Experimental Design: A clinical study was conducted i
Autor:
Baowei Fei, Xu Wang, Guolan Lu, Amy Y. Chen, James V. Little, Mihir R. Patel, Martin Halicek, Mark W. El-Deiry, Christopher C. Griffith
Publikováno v:
Journal of Biomedical Optics. 22:060503
Surgical cancer resection requires an accurate and timely diagnosis of the cancer margins in order to achieve successful patient remission. Hyperspectral imaging (HSI) has emerged as a useful, noncontact technique for acquiring spectral and optical p