Medical Image Recognition Technology Based On Fusion Of Faster-RCNN And SSD

被引：0

作者：

Hou, Yuwen ^{[1
]}

Wu, Song ^{[1
]}

Huo, Mingde ^{[2
]}

机构：

[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing, Peoples R China

[2] China United Network Commun Corp, Chongqing Branch, Chongqing, Peoples R China

来源：

2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023 | 2024年

关键词：

Faster-RCNN; SSD; Intelligent identification; Machine vision; Deep learning;

D O I：

10.1109/TrustCom60117.2023.00293

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Through an analysis of the Faster R-CNN 111 and SSD 121 algorithm models and their applications in image recognition, various advantages and limitations were discovered. Simultaneously, a novel image recognition technique, based on the fusion of Faster R-CNN and SSD, was proposed for application in medical image recognition. Furthermore, the principles and apparatus for medical virus diagnosis using this technique were designed. Validation experiments were conducted to achieve efficient recognition and diagnosis of white blood cells.

引用

页码：2110 / 2114

页数：5

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