Machine learning of Raman spectroscopy data for classifying cancers: a review of the recent literature
Raman Spectroscopy has long been anticipated to augment clinical decision making, such
as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far …
as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far …
Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue …
Significance Standardized data processing approaches are required in the field of bio-
Raman spectroscopy to ensure information associated with spectral data acquired by …
Raman spectroscopy to ensure information associated with spectral data acquired by …
Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 2: in-vivo tumor-targeting using a classification model …
Significance: The diagnosis and treatment of prostate cancer (PCa) are limited by a lack of
intraoperative information to accurately target tumors with needles for biopsy and …
intraoperative information to accurately target tumors with needles for biopsy and …
Label-free SERS detection of prostate cancer based on multi-layer perceptron surrogate model method
H Ge, X Gao, J Lin, X Zhao, X Wu, H Zhang - Spectrochimica Acta Part A …, 2024 - Elsevier
Prior surface-enhanced Raman spectroscopy (SERS) research has shown that pre-
processing is necessary before analysis. Pre-processing also typically serves the dual …
processing is necessary before analysis. Pre-processing also typically serves the dual …
Transfer Contrastive Learning for Raman Spectroscopy Skin Cancer Tissue Classification
Using Raman spectroscopy (RS) signals for skin cancer tissue classification has recently
drawn significant attention, because of its non-invasive optical technique, which uses …
drawn significant attention, because of its non-invasive optical technique, which uses …
System transferability of Raman-based oesophageal tissue classification using modern machine learning to support multi-centre clinical diagnostics
Background The clinical potential of Raman spectroscopy is well established but has yet to
become established in routine oncology workflows. One barrier slowing clinical adoption is …
become established in routine oncology workflows. One barrier slowing clinical adoption is …
Spectroscopie Raman de tissus biologiques dans le domaine temporel
N Ksantini - 2021 - publications.polymtl.ca
La spectroscopie Raman est un outil d'imagerie optique à la popularité grandissante pour le
diagnostic du cancer. Il exploite la diffusion inélastique pour identifier la composition …
diagnostic du cancer. Il exploite la diffusion inélastique pour identifier la composition …
[IDÉZET][C] Clinical Aspects of Raman Spectroscopy in Surgical Applications
The following sections are included: Introduction Electromagnetic Radiation in Surgery
Added Value of Vibrational Spectroscopy Machine Learning and Clinical Spectroscopy …
Added Value of Vibrational Spectroscopy Machine Learning and Clinical Spectroscopy …