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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 26–41 of 41 papers

TitleStatusHype
Lightweight Transformer Backbone for Medical Object Detection—0
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae—0
Taming Detection Transformers for Medical Object Detection—0
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets—0
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection ModelsCode0
CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical ImageryCode0
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological SlidesCode0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
Enhancing Wrist Fracture Detection with YOLOCode0
Detecting Cancer Metastases on Gigapixel Pathology ImagesCode0
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion DetectionCode0
Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial IntelligenceCode0
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
nnDetection for Intracranial Aneurysms Detection and LocalizationCode0
Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture DetectionCode0
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