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 1–25 of 41 papers

TitleStatusHype
Transformers in Medical Imaging: A SurveyCode3
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST LabelsCode2
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture DetectionCode2
nnDetection: A Self-configuring Method for Medical Object DetectionCode1
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
Circle Representation for Medical Object DetectionCode1
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and CountingCode1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-trainingCode1
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningCode1
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 AlgorithmCode1
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor DetectionCode1
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray ImagesCode1
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorCode1
Conditional Training with Bounding Map for Universal Lesion Detection—0
Accurate Detection of Mediastinal Lesions with nnDetection—0
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
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.