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Medical Object Detection

Medical object detection is the task of identifying medical-based objects within an image.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

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Showing 1–10 of 41 papers

TitleStatusHype
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection—0
CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical ImageryCode0
Enhancing Wrist Fracture Detection with YOLOCode0
Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture DetectionCode0
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray ImagesCode1
YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture DetectionCode2
ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis—0
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and AttentionCode1
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor DetectionCode1
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