Medical Object Detection
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Benchmarks
Most implemented
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
Detecting Cancer Metastases on Gigapixel Pathology Images
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
Papers
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+3