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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 11–20 of 41 papers

TitleStatusHype
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and CountingCode1
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-trainingCode1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
Circle Representation for Medical Object DetectionCode1
nnDetection: A Self-configuring Method for Medical Object DetectionCode1
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningCode1
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorCode1
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection—0
CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical ImageryCode0
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