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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 1–41 of 41 papers

TitleStatusHype
Transformers in Medical Imaging: A SurveyCode3
YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture DetectionCode2
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST LabelsCode2
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray ImagesCode1
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
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 AlgorithmCode1
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
Enhancing Wrist Fracture Detection with YOLOCode0
Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture DetectionCode0
ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis—0
Taming Detection Transformers for Medical Object Detection—0
nnDetection for Intracranial Aneurysms Detection and LocalizationCode0
Accurate Detection of Mediastinal Lesions with nnDetection—0
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
Lightweight Transformer Backbone for Medical Object Detection—0
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection ModelsCode0
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae—0
Conditional Training with Bounding Map for Universal Lesion Detection—0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
MACD R-CNN: An Abnormal Cell Nucleus Detection Method—0
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets—0
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion DetectionCode0
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and SegmentationCode0
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological SlidesCode0
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion DetectionCode0
Detecting Cancer Metastases on Gigapixel Pathology ImagesCode0
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