medical image detection
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Benchmarks
GRAZPEDWRI-DX
Most implemented
MONAI: An open-source framework for deep learning in healthcare
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario
Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images
Enhancing Wrist Fracture Detection with YOLO
Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection
Papers
Text Over Image: Auditing Multimodal Robustness in Synthetic Medical Image Detection
With the rapid adoption of generative AI, synthetic medical images pose growing risks, including diagnostic deception and insurance fraud. Although prior work has explored vision-language model (VLM)-based synthetic imag…
medical image detectionMedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities
Traditional object detection models in medical imaging operate within a closed-set paradigm, limiting their ability to detect objects of novel labels. Open-vocabulary object detection (OVOD) addresses this limitation but…
medical image detectionContrastive LearningObject DetectionSpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection
Abnormality detection in medical imaging is a critical task requiring both high efficiency and accuracy to support effective diagnosis. While convolutional neural networks (CNNs) and Transformer-based models are widely u…
medical image detectionA deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario
Background: Malaria is a critical and potentially fatal disease caused by the Plasmodium parasite and is responsible for more than 600,000 deaths globally. Early and accurate detection of malaria parasites is crucial f…
DiagnosticMalaria Falciparum DetectionMalaria Malariae DetectionMalaria Ovale Detection+5Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images
Children often suffer wrist trauma in daily life, while they usually need radiologists to analyze and interpret X-ray images before surgical treatment by surgeons. The development of deep learning has enabled neural netw…
2D Object DetectionFracture detectionmedical image detectionobject-detection+2Enhancing Wrist Fracture Detection with YOLO
Diagnosing and treating abnormalities in the wrist, specifically distal radius, and ulna fractures, is a crucial concern among children, adolescents, and young adults, with a higher incidence rate during puberty. However…
Anomaly DetectionFracture detectionmedical image detectionMedical Object Detection+3