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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
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
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae—0
Accurate Detection of Mediastinal Lesions with nnDetection—0
ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis—0
An Efficient Anchor-free Universal Lesion Detection in CT-scans—0
Conditional Training with Bounding Map for Universal Lesion Detection—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection—0
MACD R-CNN: An Abnormal Cell Nucleus Detection Method—0
Lightweight Transformer Backbone for Medical Object Detection—0
Taming Detection Transformers for Medical Object Detection—0
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets—0
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