Cargando…
Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy
SIMPLE SUMMARY: Detection of colorectal carcinoma is performed visually by investigators and is confirmed pathologically. With hyperspectral imaging, an expanded spectral range of optical information is now available for analysis. The acquired recordings were analyzed with a neural network, and it w...
Autores principales: | Jansen-Winkeln, Boris, Barberio, Manuel, Chalopin, Claire, Schierle, Katrin, Diana, Michele, Köhler, Hannes, Gockel, Ines, Maktabi, Marianne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956537/ https://www.ncbi.nlm.nih.gov/pubmed/33669082 http://dx.doi.org/10.3390/cancers13050967 |
Ejemplares similares
-
Impact of Pre- and Post-Processing Steps for Supervised Classification of Colorectal Cancer in Hyperspectral Images
por: Tkachenko, Mariia, et al.
Publicado: (2023) -
Border Line Definition Using Hyperspectral Imaging in Colorectal Resections
por: Jansen-Winkeln, Boris, et al.
Publicado: (2022) -
Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging
por: Collins, Toby, et al.
Publicado: (2021) -
Laparoscopic system for simultaneous high-resolution video and rapid hyperspectral imaging in the visible and near-infrared spectral range
por: Köhler, Hannes, et al.
Publicado: (2020) -
Comparison of hyperspectral imaging and fluorescence angiography for the determination of the transection margin in colorectal resections—a comparative study
por: Jansen-Winkeln, Boris, et al.
Publicado: (2020)