Diagnosis of cholangiocarcinoma from microscopic hyperspectral pathological dataset by deep convolution neural networks
This paper focuses on automatic Cholangiocarcinoma (CC) diagnosis from microscopic
hyperspectral (HSI) pathological dataset with deep learning method. The first benchmark …
hyperspectral (HSI) pathological dataset with deep learning method. The first benchmark …
Excitation-scanning hyperspectral video endoscopy: enhancing the light at the end of the tunnel
CM Browning, J Deal, S Mayes, A Arshad… - Biomedical Optics …, 2021 - opg.optica.org
Colorectal cancer is the 3^ rd leading cancer for incidence and mortality rates. Positive
treatment outcomes have been associated with early detection; however, early stage lesions …
treatment outcomes have been associated with early detection; however, early stage lesions …
Adaptive denoising hyperspectral data for visualization enhancement of intraoperative tissue
J Sun, Z Wu, L Wang, Q Yao, M Li… - Journal of …, 2022 - Wiley Online Library
The vast amount of reflectance information obtained from the hyperspectral imaging devices
offers great opportunities for investigating the function and structure of human tissue …
offers great opportunities for investigating the function and structure of human tissue …
Design of a modified endoscope illuminator for spectral imaging of colorectal tissues
CM Browning, S Mayes, TC Rich… - Optical Biopsy XV …, 2017 - spiedigitallibrary.org
The gold standard for locating colonic polyps is a white light endoscope in a colonoscopy,
however, polyps smaller than 5 mm can be easily missed. Modified procedures such as …
however, polyps smaller than 5 mm can be easily missed. Modified procedures such as …
[PDF][PDF] Hyperspectral Methods in Microscopy Image Analysis: A Survey
S Nasr-Esfahani, V Muthukumar… - Proceedings of the …, 2021 - scitepress.org
Hyperspectral imaging (HSI) has found applications in remote sensing, agriculture,
medicine, and biology. HSI acquires a three-dimensional dataset called hypercube, with two …
medicine, and biology. HSI acquires a three-dimensional dataset called hypercube, with two …
[HTML][HTML] Sensitivity analysis of a multibranched light guide for real time hyperspectral imaging systems
Hyperspectral imaging (HSI) is a spectroscopic technique which captures images at a high
contrast over a wide range of wavelengths to show pixel specific composition. Traditional …
contrast over a wide range of wavelengths to show pixel specific composition. Traditional …
Optical simulations for determining efficacy of new light source designs for excitation-scanning high-speed hyperspectral imaging systems
CM Browning, J Deal, SG Mayes… - Multiscale Imaging …, 2020 - spiedigitallibrary.org
Positive outcomes for colorectal cancer treatment have been linked to early detection. The
difficulty in detecting early lesions is the limited contrast with surrounding mucosa and …
difficulty in detecting early lesions is the limited contrast with surrounding mucosa and …