Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis
出版年份 2021 全文链接
标题
Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis
作者
关键词
-
出版物
Biomedical Optics Express
Volume 12, Issue 5, Pages 2559
出版商
The Optical Society
发表日期
2021-03-27
DOI
10.1364/boe.421961
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Determination of minor metal elements in steel using laser-induced breakdown spectroscopy combined with machine learning algorithms
- (2020) Yuqing Zhang et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes
- (2020) Hyunku Shin et al. ACS Nano
- Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
- (2020) Xueyan Mei et al. NATURE MEDICINE
- Machine learning efficiently corrects LIBS spectrum variation due to change of laser fluence
- (2020) Zengqi Yue et al. OPTICS EXPRESS
- Blood cancer diagnosis using ensemble learning based on a random subspace method in laser-induced breakdown spectroscopy
- (2020) YanWu Chu et al. Biomedical Optics Express
- Correlation-based carbon determination in steel without explicitly involving carbon-related emission lines in a LIBS spectrum
- (2020) Yuqing Zhang et al. OPTICS EXPRESS
- Diagnosis of Alzheimer's disease using laser-induced breakdown spectroscopy and machine learning
- (2020) Rosalba Gaudiuso et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- A comparative analysis of different biofluids towards ovarian cancer diagnosis using Raman microspectroscopy
- (2020) Panagiotis Giamougiannis et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- A review of the use of laser-induced breakdown spectroscopy for bacterial classification, quantification, and identification
- (2019) Steven J. Rehse SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soils with Generalized LIBS Spectra
- (2019) Chen Sun et al. Scientific Reports
- Ovarian cancer statistics, 2018
- (2018) Lindsey A. Torre et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Diagnosis of human malignancies using laser-induced breakdown spectroscopy in combination with chemometric methods
- (2018) Xue Chen et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Using LIBS to diagnose melanoma in biomedical fluids deposited on solid substrates: Limits of direct spectral analysis and capability of machine learning
- (2018) Rosalba Gaudiuso et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Raman spectroscopic techniques to detect ovarian cancer biomarkers in blood plasma
- (2018) Maria Paraskevaidi et al. TALANTA
- Discrimination of lymphoma using laser-induced breakdown spectroscopy conducted on whole blood samples
- (2018) Xue Chen et al. Biomedical Optics Express
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2018) Freddie Bray et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Discrimination of nasopharyngeal carcinoma serum using laser-induced breakdown spectroscopy combined with an extreme learning machine and random forest method
- (2018) Chu YanWu et al. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
- A guide to deep learning in healthcare
- (2018) Andre Esteva et al. NATURE MEDICINE
- Laser-induced breakdown spectroscopy for human and animal health: A review
- (2018) Rosalba Gaudiuso et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Double-slit photoelectron interference in strong-field ionization of the neon dimer
- (2018) Maksim Kunitski et al. Nature Communications
- Classification of wines according to their production regions with the contained trace elements using laser-induced breakdown spectroscopy
- (2017) Ye Tian et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Age-specific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laser-induced breakdown spectroscopy
- (2016) Noureddine Melikechi et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy
- (2015) Thomas F. Boucher et al. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
- Differentiation of cutaneous melanoma from surrounding skin using laser-induced breakdown spectroscopy
- (2015) Jung Hyun Han et al. Biomedical Optics Express
- Ovarian cancer symptom awareness and anticipated delayed presentation in a population sample
- (2014) Kate E Brain et al. BMC CANCER
- Laser spectrometry for multi-elemental imaging of biological tissues
- (2014) L. Sancey et al. Scientific Reports
- Symptomization and triggering processes: Ovarian cancer patients' narratives on pre-diagnostic sensation experiences and the initiation of healthcare seeking
- (2014) Susanne Brandner et al. SOCIAL SCIENCE & MEDICINE
- Indirect laser-induced breakdown of transparent thin gel layer for sensitive trace element detection
- (2013) Junshan Xiu et al. APPLIED PHYSICS LETTERS
- Laser-Induced Breakdown Spectroscopy (LIBS), Part II: Review of Instrumental and Methodological Approaches to Material Analysis and Applications to Different Fields
- (2012) David W. Hahn et al. APPLIED SPECTROSCOPY
- Laser-Induced Breakdown Spectroscopy (LIBS), Part I: Review of Basic Diagnostics and Plasma—Particle Interactions: Still-Challenging Issues within the Analytical Plasma Community
- (2010) David W. Hahn et al. APPLIED SPECTROSCOPY
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