SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 41 papers

TitleStatusHype
Taming Detection Transformers for Medical Object Detection—0
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
nnDetection for Intracranial Aneurysms Detection and LocalizationCode0
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 AlgorithmCode1
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and CountingCode1
Accurate Detection of Mediastinal Lesions with nnDetection—0
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial IntelligenceCode0
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
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.