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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
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae—0
Circle Representation for Medical Object DetectionCode1
nnDetection: A Self-configuring Method for Medical Object DetectionCode1
Conditional Training with Bounding Map for Universal Lesion Detection—0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningCode1
MACD R-CNN: An Abnormal Cell Nucleus Detection Method—0
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets—0
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
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST LabelsCode2
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological SlidesCode0
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorCode1
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion DetectionCode0
Detecting Cancer Metastases on Gigapixel Pathology ImagesCode0
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