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. 2022 Nov 8;9(11):620. doi: 10.3390/vetsci9110620

Table 2.

List of the most commonly used machine learning algorithms in medical imaging.

Model Algorithm Reference
Linear Learning model

  • Linear regression (LR)

  • Principal component analysis (PCA)

  • Linear discriminant analysis (LDA)

  • Nelder and Wedderburn (1972) [35]

  • Jolliffe (2002) [36]

  • Mclachlan (2004) [37]
Nonlinear Learning model

  • Logistic regression (LR)

  • Naïve Bayes (NB)

  • General additive models (GAM)

  • Decision tree (DT)

  • Support vector machine (SVM)

  • Gradient boosting machine (Gboost)

  • Advanced gradient boosting (XgBoost)

  • Random forest (RF)

  • Artificial neural network (ANN)

  • K-nearest neighbors (K-NN)

  • Deep learning (DL)



  • PLS

  • Walker and Duncan (1967) [38]

  • Russell (2003) [39]

  • Hastie and Tibshirani (1990) [40]

  • Quinlan (1987) [41]

  • Cortes (1995) [42]

  • Hastie, Tibshirani(1990) [40]

  • Chen and Guestrin (2016) [43]

  • Ho (1998) [44]

  • Kleene (1956) [45]

  • Fix and Hodges (1951) [46]

  • Bishop (2006) [47], Schmidhuber

(2015) [48]; LeCun, Bengio, and Hinton
(2015) [49]; Goodfellow (2016) [50]

  • Tibshirani (1996) [24]