Medical Object Detection

27 papers with code • 3 benchmarks • 3 datasets

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 )

YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images

ruiyangju/yolov9-fracture-detection 17 Mar 2024

The introduction of YOLOv9, the latest version of the You Only Look Once (YOLO) series, has led to its widespread adoption across various scenarios.

1
17 Mar 2024

YOLOv8-AM: YOLOv8 with Attention Mechanisms for Pediatric Wrist Fracture Detection

ruiyangju/fracture_detection_improved_yolov8 14 Feb 2024

Specifically, we respectively employ four attention modules, Convolutional Block Attention Module (CBAM), Global Attention Mechanism (GAM), Efficient Channel Attention (ECA), and Shuffle Attention (SA), to design the improved models and train them on GRAZPEDWRI-DX dataset.

8
14 Feb 2024

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

mkang315/bgf-yolo 22 Sep 2023

You Only Look Once (YOLO)-based object detectors have shown remarkable accuracy for automated brain tumor detection.

38
22 Sep 2023

CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention

zhanghx-iim-ahu/circleformer 30 Aug 2023

Inspired by the recent anchor free CNN-based circular object detection method (CircleNet) for ball-shape glomeruli detection in renal pathology, in this paper, we present CircleFormer, a Transformer-based circular medical object detection with dynamic anchor circles.

3
30 Aug 2023

RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection

mkang315/rcs-yolo 31 Jul 2023

With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks have become one of the most efficient algorithms for object detection.

53
31 Jul 2023

CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer

mkang315/CST-YOLO 26 Jun 2023

Blood cell detection is a typical small-scale object detection problem in computer vision.

32
26 Jun 2023

nnDetection for Intracranial Aneurysms Detection and Localization

orouskhani/aneurysmdetection 22 May 2023

Intracranial aneurysms are a commonly occurring and life-threatening condition, affecting approximately 3. 2% of the general population.

0
22 May 2023

Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm

ruiyangju/bone_fracture_detection_yolov8 11 Apr 2023

To enable surgeons to use our model for fracture detection on pediatric wrist trauma X-ray images, we have designed the application "Fracture Detection Using YOLOv8 App" to assist surgeons in diagnosing fractures, reducing the probability of error analysis, and providing more useful information for surgery.

19
11 Apr 2023

DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting

dair-iitd/degpr CVPR 2023

While there exist multiple, general-purpose, deep learning-based object detection and counting methods, they may not readily transfer to detecting and counting cells in medical images, due to the limited data, presence of tiny overlapping objects, multiple cell types, severe class-imbalance, minute differences in size/shape of cells, etc.

13
03 Apr 2023

Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

roboflow-ai/roboflow-100-benchmark 24 Nov 2022

The evaluation of object detection models is usually performed by optimizing a single metric, e. g. mAP, on a fixed set of datasets, e. g. Microsoft COCO and Pascal VOC.

217
24 Nov 2022