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 …
Raman imaging and fluorescence lifetime imaging microscopy for diagnosis of cancer state and metabolic monitoring
Simple Summary In spite of significant improvements in diagnosis and treatment options,
cancer treatments still suffer from late detection and patient-specific multidrug resistance …
cancer treatments still suffer from late detection and patient-specific multidrug resistance …
[HTML][HTML] Raman opportunities in the field of pathological calcifications
IT Lucas, D Bazin, M Daudon - Comptes …, 2022 - comptes-rendus.academie-sciences …
Résumé The aim of this contribution is to present to the community the very unique
diagnostic capabilities of Raman spectroscopy in the context of pathological calcifications …
diagnostic capabilities of Raman spectroscopy in the context of pathological calcifications …
Raman spectroscopy for rapid intra-operative margin analysis of surgically excised tumour specimens
TJE Hubbard, A Shore, N Stone - Analyst, 2019 - pubs.rsc.org
Raman spectroscopy, a form of vibrational spectroscopy, has the ability to provide sensitive
and specific biochemical analysis of tissue. This review article provides an in-depth analysis …
and specific biochemical analysis of tissue. This review article provides an in-depth analysis …
Analysis and classification of oral tongue squamous cell carcinoma based on Raman spectroscopy and convolutional neural networks
J Xia, L Zhu, M Yu, T Zhang, Z Zhu, X Lou… - Journal of Modern …, 2020 - Taylor & Francis
To detect oral tongue squamous cell carcinoma (OTSCC) using fibre optic Raman
spectroscopy, we present a classification model based on convolutional neural networks …
spectroscopy, we present a classification model based on convolutional neural networks …
“Real-time” assessment of surgical margins during radical prostatectomy: state-of-the-art
Histopathologic examination of the pathologic specimens using hematoxylin & eosin stains
represents the backbone of the modern pathology. It is time-consuming; thus,“real-time” …
represents the backbone of the modern pathology. It is time-consuming; thus,“real-time” …
[PDF][PDF] 拉曼光谱技术在肿瘤诊断上的应用研究进展
祁亚峰， 刘宇宏， 刘大猛 - Laser & Optoelectronics Progress, 2020 - researching.cn
摘要肿瘤是一种严重威胁我国居民生命健康的重大疾病. 现有的肿瘤诊断方式存在诊断时间长,
创伤严重和误判率高等问题, 且严重依赖于医生的主观经验. 因此, 研究出具有智能属性的肿瘤 …
创伤严重和误判率高等问题, 且严重依赖于医生的主观经验. 因此, 研究出具有智能属性的肿瘤 …
Feature fusion of Raman chemical imaging and digital histopathology using machine learning for prostate cancer detection
The diagnosis of prostate cancer is challenging due to the heterogeneity of its presentations,
leading to the over diagnosis and treatment of non-clinically important disease. Accurate …
leading to the over diagnosis and treatment of non-clinically important disease. Accurate …
Rapid noninvasive screening of cerebral ischemia and cerebral infarction based on tear Raman spectroscopy combined with multiple machine learning algorithms
Researchers have established a classification model based on tear Raman spectroscopy
combined with machine learning classification algorithms, which realizes rapid noninvasive …
combined with machine learning classification algorithms, which realizes rapid noninvasive …
Sagnac-enhanced impulsive stimulated Raman scattering for highly sensitive low-frequency Raman spectroscopy
The “fingerprint”(500–1800 cm^− 1) and “high-frequency”(2400–4000 cm^− 1) regions in
Raman spectroscopy are commonly used for label-free chemical analysis, while the “low …
Raman spectroscopy are commonly used for label-free chemical analysis, while the “low …