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Apr 28, 2024 · Our SAC model acquires state-of-the-art performance on the Kvasir dataset, with an accuracy rate of 93.37%, outperforming the existing methods ...
Apr 28, 2024 · We employ the Kvasir dataset to assess the accuracy of classifying GI illnesses using the SAC architecture. We compare our architecture's ...
May 5, 2024 · We employ the Kvasir dataset to assess the accuracy of classifying GI illnesses using the SAC architecture. We compare our architecture's ...
We employ the Kvasir dataset to assess the accuracy of classifying GI illnesses using the SAC architecture. We compare our architecture's results with Vanilla ...
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset. Health Inf Sci Syst 12, 32 ...
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset · Severity Grading of Ulcerative ...
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset. Article. Full-text available.
KVASIR is a dataset containing images from inside the gastrointestinal (GI) tract that contains two categories of images related to endoscopic polyp removal ...
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset. Ayşe Ayyüce Demirbaş; Hüseyin ...
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset. Health Information Science ...