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. 2022 Apr 6;14(7):1840. doi: 10.3390/cancers14071840
HU Hounsfield Unit
ABM Adaptive Border Marching
A-CNN Amalgamated Convolutional Neural Network
ASM Active Shape Model
CAD Computer-Aided Diagnosis
CADe              Computer-Aided Detection System
CADx Computer-Aided Diagnosis System
DL Deep Learning
CNN Convolutional Neural Network
MV-CNN Multi-view CNN
ML-CNN Multi-level CNN
AHSN Angular Histograms of Surface Normals
CPM Competition Performance Metrics
CT Computed Tomography
CV Chan Vese
DBN Deep Belief Network
DCNN Deep Convolutional Neural Network
DNN Deep Neural Network
ELM Extreme Learning Machines
FLD Fisher Linear Discriminant
FPN False Positive Nodule
GAN Generative Adversarial Network
GGO Ground Glass Opacity
GGN Ground Glass Nodule
ICLR InferRead CT Lung Research
KB Knowledge Bank
k-NN K-nearest Neighbor
LDA Linear Discriminate Analysis
LDCT Low Dose Computed Tomography
LIDC-IDRI Lung Image Database Consortium and Image Database Resource Initiative
MGRF Markov Gibbs Random Field
ML Machine Learning
MPP Multi Player Perception
NNE Neural Network Ensemble
PNN Probabilistic Neural Network
RASM Robust Active Shape Model
ROI Region of Interest
RPCA Robust Principal Component Analysis
SAE Stacked Autoencoder
SS-ELM Semi-Supervised Extreme Learning Machines
SVM Support Vector Machine
TPN True Positive Nodule
AUC Area Under the Curve
IA Invasive Adenocarcinoma
MTANN Massive training artificial neural networks
NCI National Cancer Institute
SVHN Street View House Numbers Dataset
LASSO Least Absolute Shrinkage and Selection Operator
AAH Atyoical Adenomatous Hyperplasia
MIA minimally invasive adenocarcinoma
AIS Adenocarcinoma in Situ
GLCM Gray-Level Co-occurrence Matrix
EM Expectation–maximization method
DSC Dice Similarity Coefficient
Inf-Net COVID-19-infected lung segmentation convolution neural network
Semi-Inf-Net semi-supervised Inf-Net
ALVD absolute lung volume difference
BHD bidirectional Hausdorff distance
HCRF Hidden conditional random field
SCPM-Net sphere center-points matching detection network
SD-U-Net Squeeze and attention, and dense atrous spatial pyramid pooling U-Net