Papers with Code 아카이브
Medical Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 4
- 보존된 평가 기록
- 14
Medical object detection is the task of identifying medical-based objects within an image.
<span style="color:grey; opacity: 0.6">( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery
Enhancing Wrist Fracture Detection with YOLO
Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection
ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection
CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection
Taming Detection Transformers for Medical Object Detection
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
nnDetection for Intracranial Aneurysms Detection and Localization
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
Accurate Detection of Mediastinal Lesions with nnDetection
Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark
An Efficient Anchor-free Universal Lesion Detection in CT-scans
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection
Transformers in Medical Imaging: A Survey
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
Lightweight Transformer Backbone for Medical Object Detection
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae
Circle Representation for Medical Object Detection
nnDetection: A Self-configuring Method for Medical Object Detection
Conditional Training with Bounding Map for Universal Lesion Detection
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
MACD R-CNN: An Abnormal Cell Nucleus Detection Method
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.