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Found 3 papers, 1 papers with code
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation
Polyp segmentation has recently garnered significant attention, and multiple methods have been formulated to achieve commendable outcomes.
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
Specifically, with the increase in cases, the diagnosis and identification need to be faster and more accurate for many patients; in endoscopic images, the segmentation task has been vital to helping the doctor identify the position of the polyps or the ache in the system correctly.
EfficientNet for Brain-Lesion classification
With the improvement of the architecture, there is a variety of methods that are proposed and achieve competitive scores.
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