From:  Artificial intelligence framework for lung cancer nodule segmentation and classification using convolutional neural network—from imaging to diagnosis

 A clear and concise overview of each model’s performance metrics and key remarks

ModelAccuracy (%)Precision (%)Recall (%)F1-score (%)Remarks
VGG-1696.094.092.093.0Strong feature extraction but higher computational demands and lower recall, risking false negatives.
Inception v397.896.595.295.8Modular architecture and multi-scale processing offer balanced precision-recall performance.
EfficientNet B099.398.999.098.9Top performance with high accuracy and computational efficiency due to compound scaling.