A single YOLOv8-X model detects and classifies GI bleeding in wireless capsule endoscopy images, reporting 96.10% classification accuracy and 76.8% mAP@0.5 on a validation set.
Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection
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Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X
A single YOLOv8-X model detects and classifies GI bleeding in wireless capsule endoscopy images, reporting 96.10% classification accuracy and 76.8% mAP@0.5 on a validation set.