Copyright
©The Author(s) 2024.
World J Gastroenterol. Dec 28, 2024; 30(48): 5111-5129
Published online Dec 28, 2024. doi: 10.3748/wjg.v30.i48.5111
Published online Dec 28, 2024. doi: 10.3748/wjg.v30.i48.5111
Figure 8 Different feature fusion structures.
A: Feature pyramid network (FPN); B: Path aggregation network; C: Bidirectional FPN. P2: Represents layer 2 feature maps; P3: Represents layer 3 feature maps; P4: Represents layer 4 feature maps; P5: Represents layer 5 feature maps; P6: Represents layer 6 feature maps. FPN: Feature pyramid network; PANet: Path aggregation network; BiFPN: Bidirectional feature pyramid network.
- Citation: Xiao ZG, Chen XQ, Zhang D, Li XY, Dai WX, Liang WH. Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models. World J Gastroenterol 2024; 30(48): 5111-5129
- URL: https://www.wjgnet.com/1007-9327/full/v30/i48/5111.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i48.5111