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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 21–30 of 41 papers

TitleStatusHype
Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial IntelligenceCode0
CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical ImageryCode0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion DetectionCode0
nnDetection for Intracranial Aneurysms Detection and LocalizationCode0
Detecting Cancer Metastases on Gigapixel Pathology ImagesCode0
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion DetectionCode0
Enhancing Wrist Fracture Detection with YOLOCode0
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological SlidesCode0
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and SegmentationCode0
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