Fig. 6: Bone infection cases misclassified by experts and models in the internal test set.
From: Deep learning models in classifying primary bone tumors and bone infections based on radiographs
a, b The models mostly predict correctly but the experts mostly predict incorrectly based on the radiographs from Patient g and Patient h. c, d The models mostly predict incorrectly but the experts mostly predict correctly based on the radiographs from Patient i and Patient j. e, f Both of the models and the experts mostly predict incorrectly based on the radiographs from Patient k and Patient l. Model classification shows the probability of SWIN model and E3 model, which respectively correspond to the best and worst predictions in the imaging models. Red circles refer to bone tumors. Blue circles refer to bone infections. Bar = 100 μm. E3 EfficientNet B3, SWIN swin transformers, COM chronic osteomyelitis, LVT lumber vertebra tuberculosis, JT joint tuberculosis, OM osteomyelitis, BA brodie’s abscess. Note: Fig. 6 was Created with BioRender.com.
