PMID- 38116305
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231221
IS  - 1178-2390 (Print)
IS  - 1178-2390 (Electronic)
IS  - 1178-2390 (Linking)
VI  - 16
DP  - 2023
TI  - Generative and Discriminative Learning for Lung X-Ray Analysis Based on 
      Probabilistic Component Analysis.
PG  - 4039-4051
LID - 10.2147/JMDH.S437445 [doi]
AB  - INTRODUCTION: The paper presents a hybrid generative/discriminative 
      classification method aimed at identifying abnormalities, such as cancer, in lung 
      X-ray images. METHODS: The proposed method involves a generative model that 
      performs generative embedding in Probabilistic Component Analysis (PrCA). The 
      primary goal of PrCA is to model co-existing information within a probabilistic 
      framework, with the intent to locate the feature vector space for X-ray data 
      based on a defined kernel structure. A kernel-based classifier, grounded in 
      information-theoretic principles, was employed in this study. RESULTS: The 
      performance of the proposed method is evaluated against nearest neighbour (NN) 
      classifiers and support vector machine (SVM) classifiers, which use a diagonal 
      covariance matrix and incorporate normal linear and non-linear kernels, 
      respectively. DISCUSSION: The method is found to achieve superior accuracy, 
      offering a viable solution to the class of problems presented. Accuracy rates 
      achieved by the kernels in the NN and SVM models were 95.02% and 92.45%, 
      respectively, suggesting the method's competitiveness with state-of-the-art 
      approaches.
CI  - (c) 2023 Alshamrani et al.
FAU - Alshamrani, Khalaf
AU  - Alshamrani K
AUID- ORCID: 0000-0002-0066-1752
AD  - Radiological Science Department, Najran University, Najran, Saudi Arabia.
AD  - Oncology and Metabolism Department, Medical School, University of Sheffield, 
      Sheffield, United Kingdom.
FAU - Alshamrani, Hassan A
AU  - Alshamrani HA
AD  - Radiological Science Department, Najran University, Najran, Saudi Arabia.
FAU - Alqahtani, F F
AU  - Alqahtani FF
AD  - Radiological Science Department, Najran University, Najran, Saudi Arabia.
FAU - Alshehri, Ali H
AU  - Alshehri AH
AD  - Radiological Science Department, Najran University, Najran, Saudi Arabia.
FAU - Althaiban, Saleh Hudayban
AU  - Althaiban SH
AD  - Department of Radiology, New Najran General Hospital, Najran, Saudi Arabia.
LA  - eng
PT  - Journal Article
DEP - 20231214
PL  - New Zealand
TA  - J Multidiscip Healthc
JT  - Journal of multidisciplinary healthcare
JID - 101512691
PMC - PMC10728308
OTO - NOTNLM
OT  - discriminative learning
OT  - generative learning
OT  - nearest neighbour classifier
OT  - probabilistic component analysis
OT  - support vector machines classifier
COIS- The authors declare that there is no conflict of interest.
EDAT- 2023/12/20 06:43
MHDA- 2023/12/20 06:44
PMCR- 2023/12/14
CRDT- 2023/12/20 03:58
PHST- 2023/09/21 00:00 [received]
PHST- 2023/11/23 00:00 [accepted]
PHST- 2023/12/20 06:44 [medline]
PHST- 2023/12/20 06:43 [pubmed]
PHST- 2023/12/20 03:58 [entrez]
PHST- 2023/12/14 00:00 [pmc-release]
AID - 437445 [pii]
AID - 10.2147/JMDH.S437445 [doi]
PST - epublish
SO  - J Multidiscip Healthc. 2023 Dec 14;16:4039-4051. doi: 10.2147/JMDH.S437445. 
      eCollection 2023.