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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 21–30 of 41 papers

TitleStatusHype
ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis—0
An Efficient Anchor-free Universal Lesion Detection in CT-scans—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection—0
MACD R-CNN: An Abnormal Cell Nucleus Detection Method—0
Lightweight Transformer Backbone for Medical Object Detection—0
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae—0
Taming Detection Transformers for Medical Object Detection—0
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets—0
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection ModelsCode0
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