LDA vs. QDA for FT-MIR prostate cancer tissue classification-Reference-Cited by-同舟云学术

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LDA vs. QDA for FT-MIR prostate cancer tissue classification

Published:2017-03 Issue: Volume:162 Page:123-129
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Siqueira Laurinda F.S.,Araújo Júnior Raimundo F.,de Araújo Aurigena Antunes,Morais Camilo L.M.,Lima Kássio M.G.

Funder

PPGQ/UFRN/CAPES

CNPq

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference47 articles.

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2. Prognostic Gleason grade grouping: data based on the modified Gleason scoring system;Pierorazio;BJU Int.,2013

3. J.I. Epstein, W.C.J. Allsbrook, M.B. Amin, L.L. Egevad, Proceedings of the 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma., Am. J. Surg. Pathol. 291228–1242. doi:10.1097/01.pas.0000173646.99337.b1, 2005.

4. Genetic algorithm spectral feature selection coupled with quadratic discriminant analysis for ATR-FTIR spectrometric diagnosis of basal cell carcinoma via blood sample analysis;Khanmohammadi;RSC Adv.,2014

5. Comparison of performance of five common classifiers represented as boundary methods: Euclidean Distance to Centroids, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Learning Vector Quantization and Support Vector Machines, as dependent on data structure

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