A Study on Cascade R-CNN-Based Dangerous Goods Detection Using X-Ray營mage-Reference-Cited by-同舟云学术

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A Study on Cascade R-CNN-Based Dangerous Goods Detection Using X-Ray營mage

Published:2022 Issue:2 Volume:73 Page:4245-4260
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Lee Sang-Hyun

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference20 articles.

1. Deep learning in DXA image segmentation;Hussain;Computers, Materials & Continua,2021

2. Statistics of high purity nickel microstructure from high energy X-ray diffraction microscopy;Hefferan;Computers, Materials & Continua,2009

3. The research & application of the detection capability of dangerous goods in dual-energy X-ray security equipment;Gang,2009

4. Dental Age estimation based on X-ray images;Mualla;Computers, Materials & Continua,2020

5. Rotated cascade R-CNN: A shape robust detector with coordinate regression;Li;Computers, Materials & Continua,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Is Segment Anything Model Ready for X-Ray Object Segmentation?;2023 China Automation Congress (CAC);2023-11-17

2. Research on Workpiece Intelligent Detection Method Based on SSD Algorithm and Transfer Learning;Integrated Ferroelectrics;2023-06-12

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