Tumor cell identification and classification in esophageal adenocarcinoma specimens by hyperspectral imaging
Abstract Esophageal cancer is the sixth leading cause of cancer-related death worldwide. Histopathological confirmation is a key step in tumor diagnosis. Therefore, simplification in decision-making by discrimination between malignant and non-malignant cells of histological specimens can be provided...
Main Authors: | Marianne Maktabi, Yannis Wichmann, Hannes Köhler, Henning Ahle, Dietmar Lorenz, Michael Bange, Susanne Braun, Ines Gockel, Claire Chalopin, René Thieme |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-03-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-07524-6 |
Similar Items
-
Border Line Definition Using Hyperspectral Imaging in Colorectal Resections
by: Boris Jansen-Winkeln, et al.
Published: (2022-02-01) -
Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy
by: Boris Jansen-Winkeln, et al.
Published: (2021-02-01) -
Impact of Pre- and Post-Processing Steps for Supervised Classification of Colorectal Cancer in Hyperspectral Images
by: Mariia Tkachenko, et al.
Published: (2023-04-01) -
Spectral Similarity Measures for In Vivo Human Tissue Discrimination Based on Hyperspectral Imaging
by: Priya Pathak, et al.
Published: (2023-01-01) -
Hyperspectral based discrimination of thyroid and parathyroid during surgery
by: Barberio Manuel, et al.
Published: (2018-09-01)