Vertebrae detection in X-ray images based on deep convolutional neural networks

被引：0

作者：

Kurachka, K. S. ^{[1
]}

Tsalka, I. M. ^{[1
]}

机构：

[1] Pavel Sukhoi State Tech Univ Gomel, Gomel, BELARUS

来源：

2017 IEEE 14TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATICS | 2017年

关键词：

digital image processing; X-ray images; spine images; convolutional neural networks;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We proposed a model for automated vertebrae detection in X-ray image which can be used in osteoporosis diagnosis. We used deep convolutional neural network as classification method. During the experiments we found out that the model satisfies the requirements and is acceptable for problems of this type.

引用

页码：194 / 196

页数：3

共 50 条

[41] Training Convolutional Neural Networks (CNN) for Counterfeit IC Detection by the Use of Simulated X-Ray Images
Parasuraman, Suresh Dharani
Wilde, Juergen
2021 22ND INTERNATIONAL CONFERENCE ON THERMAL, MECHANICAL AND MULTI-PHYSICS SIMULATION AND EXPERIMENTS IN MICROELECTRONICS AND MICROSYSTEMS (EUROSIME), 2021,
[42] Automatic Detection of COVID-19 from Chest X-ray Images with Convolutional Neural Networks
Haque, Khandaker Foysal
Haque, Fatin Farhan
Gandy, Lisa
Abdelgawad, Ahmed
2020 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRONICS & COMMUNICATIONS ENGINEERING (ICCECE, 2020, : 125 - 130
[43] RETRACTED: Vertebrae Segmentation from X-ray Images Using Convolutional Neural Network (Retracted Article)
Kuok, Chan-Pang
Fu, Min-Jun
Lin, Chii-Jen
Horng, Ming-Huwi
Sun, Yung-Nien
IHIP 2018: 2018 INTERNATIONAL CONFERENCE ON INFORMATION HIDING AND IMAGE PROCESSING, 2018, : 57 - 61
[44] Application of Convolutional Neural Networks to femur tracking in a sequence of X-ray images
Drazkowska, Marta
Gawron, Tomasz
Kozlowski, Krzysztof
2018 7TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB2018), 2018, : 49 - 54
[45] Detecting anomalies in X-ray diffraction images using convolutional neural networks
Czyzewski, Adam
Krawiec, Faustyna
Brzezinski, Dariusz
Porebski, Przemyslaw Jerzy
Minor, Wladek
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 174
[46] Patch-based corner detection for cervical vertebrae in X-ray images
Al Arif, S. M. Masudur Rahman
Asad, Muhammad
Gundry, Michael
Knapp, Karen
Slabaugh, Greg
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2017, 59 : 27 - 36
[47] The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks
Chen, Wutong
Du, Junsheng
Chen, Yanzhen
Fan, Yifeng
Liu, Hengzhi
Tan, Chang
Shao, Xuanming
Li, Xinzhi
JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024, 37 (05): : 2264 - 2273
[48] Detection of COVID-19 from X-Ray Images using Deep Neural Networks
Gupta, Eesha
Mathur, Pratistha
Srivastava, Devesh Kumar
2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2021), 2021, : 722 - 728
[49] Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
J. Arun Prakash
Vinayakumar Ravi
V. Sowmya
K. P. Soman
Neural Computing and Applications, 2023, 35 : 8259 - 8279
[50] Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
Prakash, J. Arun
Ravi, Vinayakumar
Sowmya, V.
Soman, K. P.
NEURAL COMPUTING & APPLICATIONS, 2023, 35 (11): : 8259 - 8279

← 1 2 3 4 5 →