Improved blood cell detection method based on YOLOv5 algorithm-Reference-Cited by-同舟云学术

Improved blood cell detection method based on YOLOv5 algorithm

Published:2023-02-24 Issue: Volume: Page:
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Container-title:2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)
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Author:

Huang Meigen¹,Wang Binjie¹,Wan Jiangcheng¹,Zhou Cheng¹

Affiliation:

1. Chongqing University of Posts and Telecommunications,College of Computer,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10081934/10081946/10082206.pdf?arnumber=10082206

Reference9 articles.

1. Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

2. Path Aggregation Network for Instance Segmentation

3. EfficientDet: Scalable and Efficient Object Detection

4. Content-based image retrieval in medical applications[J];lehmann;Methods of Information in Medicine,2004

5. Classification and detection method of blood cell images generated against network based on multi-scale conditions [J];xueyun;Zhejiang University (Engineering Edition),2021

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