Papers Medical Object Detection
“Medical Object Detection” 태그가 달린 논문 44편 · 필터 해제
Exemplar Diffusion: Improving Medical Object Detection with Opportunistic Labels
We present a framework to take advantage of existing labels at inference, called \textit{exemplars}, in order to improve the performance of object detection in medical images. The method, \textit{exemplar diffusion}, lev…
Medical Object DetectionAlign Your Query: Representation Alignment for Multimodality Medical Object Detection
Medical object detection suffers when a single detector is trained on mixed medical modalities (e.g., CXR, CT, MRI) due to heterogeneous statistics and disjoint representation spaces. To address this challenge, we turn t…
Medical Object DetectionThe Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
Large-scale pre-training holds the promise to advance 3D medical object detection, a crucial component of accurate computer-aided diagnosis. Yet, it remains underexplored compared to segmentation, where pre-training has …
Medical Object Detection3D Object DetectioniDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
Existing prompt-based approaches have demonstrated impressive performance in continual learning, leveraging pre-trained large-scale models for classification tasks; however, the tight coupling between foreground-backgrou…
Continual LearningMedical Object Detectionobject-detectionObject DetectionCAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery
Object detection is of paramount importance in biomedical image analysis, particularly for lesion identification. While current methodologies are proficient in identifying and pinpointing lesions, they often lack the pre…
Lesion DetectionMedical Object Detectionobject-detectionObject DetectionEnhancing 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+3Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection
Children often suffer wrist injuries in daily life, while fracture injuring radiologists usually need to analyze and interpret X-ray images before surgical treatment by surgeons. The development of deep learning has enab…
Fracture detectionmedical image detectionMedical Object Detectionobject-detection+1YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
The introduction of YOLOv9, the latest version of the You Only Look Once (YOLO) series, has led to its widespread adoption across various scenarios. This paper is the first to apply the YOLOv9 algorithm model to the frac…
Data AugmentationFracture detectionmedical image detectionMedical Object Detection+1YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection
Wrist trauma and even fractures occur frequently in daily life, particularly among children who account for a significant proportion of fracture cases. Before performing surgery, surgeons often request patients to underg…
Fracture detectionmedical image detectionMedical Object DetectionObject Detection+1ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis
Object detection and localization are crucial tasks for biomedical image analysis, particularly in the field of hematology where the detection and recognition of blood cells are essential for diagnosis and treatment deci…
Blood Cell CountEdge-computingMedical Object DetectionObject+2BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection
You Only Look Once (YOLO)-based object detectors have shown remarkable accuracy for automated brain tumor detection. In this paper, we develop a novel BGF-YOLO architecture by incorporating Bi-level routing attention, Ge…
2D Object DetectionMedical Diagnosismedical image detectionMedical Object Detection+3CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
Both CNN-based and Transformer-based object detection with bounding box representation have been extensively studied in computer vision and medical image analysis, but circular object detection in medical images is still…
DecoderMedical Image AnalysisMedical Object DetectionObject+4RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection
With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks have become one of the most efficient algorithms for object detection. However, the performance of using YOLO networks is scarcely invest…
2D Object DetectionMedical Diagnosismedical image detectionMedical Object Detection+3Taming Detection Transformers for Medical Object Detection
The accurate detection of suspicious regions in medical images is an error-prone and time-consuming process required by many routinely performed diagnostic procedures. To support clinicians during this difficult task, se…
DiagnosticMedical Object DetectionObjectobject-detection+1CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
Blood cell detection is a typical small-scale object detection problem in computer vision. In this paper, we propose a CST-YOLO model for blood cell detection based on YOLOv7 architecture and enhance it with the CNN-Swin…
2D Object DetectionBlood Cell DetectionCell DetectionMedical Diagnosis+6nnDetection for Intracranial Aneurysms Detection and Localization
Intracranial aneurysms are a commonly occurring and life-threatening condition, affecting approximately 3.2% of the general population. Consequently, detecting these aneurysms plays a crucial role in their management. Le…
Lesion DetectionManagementMedical Object Detectionobject-detection+1Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm
Hospital emergency departments frequently receive lots of bone fracture cases, with pediatric wrist trauma fracture accounting for the majority of them. Before pediatric surgeons perform surgery, they need to ask patient…
Data AugmentationFracture detectionmedical image detectionMedical Object Detection+1DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
Multi-class cell detection and counting is an essential task for many pathological diagnoses. Manual counting is tedious and often leads to inter-observer variations among pathologists. While there exist multiple, genera…
Cell DetectionMedical Object DetectionObjectobject-detection+1Accurate Detection of Mediastinal Lesions with nnDetection
The accurate detection of mediastinal lesions is one of the rarely explored medical object detection problems. In this work, we applied a modified version of the self-configuring method nnDetection to the Mediastinal Les…
GPUMedical Object Detectionobject-detectionObject DetectionRoboflow 100: A Rich, Multi-Domain Object Detection Benchmark
The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set of datasets, e.g. Microsoft COCO and Pascal VOC. Due to image retrieval and annotation costs, these d…
2D Object DetectionImage RetrievalMedical Object DetectionMulti-Object Tracking+14