Investigation of support vector machines and Raman spectroscopy for lymph node diagnostics.
about
A comparison of different chemometrics approaches for the robust classification of electronic nose data.Investigation of noise-induced instabilities in quantitative biological spectroscopy and its implications for noninvasive glucose monitoring.Competitive evaluation of data mining algorithms for use in classification of leukocyte subtypes with Raman microspectroscopy.Epithelial-mesenchymal transition biomarkers and support vector machine guided model in preoperatively predicting regional lymph node metastasis for rectal cancer.Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM).Rapid and Quantitative Determination of S-Adenosyl-L-Methionine in the Fermentation Process by Surface-Enhanced Raman Scattering.Beyond conventional pathology: towards preoperative and intraoperative lymph node staging.Emerging technology: applications of Raman spectroscopy for prostate cancer.The many facets of Raman spectroscopy for biomedical analysis.Diagnosis approach of chronic lymphocytic leukemia on unstained blood smears using Raman microspectroscopy and supervised classification.Raman spectroscopic grading of astrocytoma tissues: using soft reference information.Investigating the rapid diagnosis of gliomas from serum samples using infrared spectroscopy and cytokine and angiogenesis factors.A support vector machine model for predicting non-sentinel lymph node status in patients with sentinel lymph node positive breast cancer.Rapid identification of staphylococci by Raman spectroscopy.Deep convolutional neural networks for Raman spectrum recognition: a unified solution.Detection of Metastatic Breast and Thyroid Cancer in Lymph Nodes by Desorption Electrospray Ionization Mass Spectrometry Imaging.Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization.Raman Spectroscopy Combined with Principal Component Analysis for Screening Nasopharyngeal Cancer in Human Blood Sera.Identification of pediatric brain neoplasms using Raman spectroscopy.Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients.Raman spectroscopy for cancer diagnosis: how far have we come?Use of Raman spectroscopy to screen diabetes mellitus with machine learning toolsAssessment of robustness and transferability of classification models built for cancer diagnostics using Raman spectroscopyRaman Spectroscopy for Clinical Oncology
P2860
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P2860
Investigation of support vector machines and Raman spectroscopy for lymph node diagnostics.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Investigation of support vecto ...... py for lymph node diagnostics.
@en
Investigation of support vecto ...... py for lymph node diagnostics.
@nl
type
label
Investigation of support vecto ...... py for lymph node diagnostics.
@en
Investigation of support vecto ...... py for lymph node diagnostics.
@nl
prefLabel
Investigation of support vecto ...... py for lymph node diagnostics.
@en
Investigation of support vecto ...... py for lymph node diagnostics.
@nl
P356
P1433
P1476
Investigation of support vecto ...... opy for lymph node diagnostics
@en
P2093
Jennifer Smith
Martina Sattlecker
P304
P356
10.1039/B920229C
P577
2010-03-05T00:00:00Z