Figure 2
From: Deep learning-based diagnosis from endobronchial ultrasonography images of pulmonary lesions
Data preprocessing flow and analysis data breakdown in this study. Training image dataset were 55,376 images of 76 adenocarcinomas, 27,038 images of 41 squamous cell carcinomas, 5136 images of 10 small cell carcinomas, and 33,518 images of 44 benign lesions. Data augmentation was applied to the training image dataset. Test dataset were 11,650 images of 16 adenocarcinomas, 4473 images of 9 squamous cell carcinomas, 2952 images of 5 small cell carcinomas, and 7599 images of 12 benign lesions. The ratio for training and test datasets was 80:20. AD adenocarcinoma, SCC squamous cell carcinomas, SCLC small cell lung cancer.
