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Copyright ©The Author(s) 2020.
Artif Intell Gastrointest Endosc. Oct 28, 2020; 1(2): 33-43
Published online Oct 28, 2020. doi: 10.37126/aige.v1.i2.33
Table 2 Deep learning applications in wireless capsule endoscopy for classifying non-disease objects
Ref.
Class/outcome variable
Deep network architecture
Device/image resolution
Training and internal validation dataset
Testing/external validation dataset
Accuracy (%)/AUC
Sensitivity (%)/specificity (%)
Seguí et al[38], 2016, SpainScenes (turbid, bubbles, clear blob, wrinkles, wall)CNNPillcam SB2 CE/100 × 100 pixels100000 images from 50 videos20000 images from 50 videos96/NANA/NA
Zou et al[5], 2015, NAOrgan locations (stomach, small intestine, and colon)CNN (AlexNet)NA/480 × 480 pixels60000 images15000 images95.52/NANA/NA