Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study

Becker A. S.; Bluthgen C.; Van V. D. Phi; Sekaggya-Wiltshire C.; Castelnuovo B.; Kambugu A.; Fehr J.; Frauenfelder T.

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Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study

机译：深入学习检测胸部X射线图像数字照片中的结核模式：可行性研究

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OBJECTIVE : To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients.

机译：目的：评价基于深入学习的胸部X射线（CXR）患者的胸部X射线（CXR）图像数码照片中病理模式的可行性。

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来源
《The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease》 |2018年第3期|共9页
作者
Becker A. S.; Bluthgen C.; Van V. D. Phi; Sekaggya-Wiltshire C.; Castelnuovo B.; Kambugu A.; Fehr J.; Frauenfelder T.;
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作者单位

Univ Hosp Zurich Inst Diagnost &

Intervent Radiol Raemistr 100 CH-8091 Zurich Switzerland;

Univ Hosp Zurich Inst Diagnost &

Intervent Radiol Raemistr 100 CH-8091 Zurich Switzerland;

Univ Hosp Zurich Inst Diagnost &

Intervent Radiol Raemistr 100 CH-8091 Zurich Switzerland;

Makerere Univ Coll Hlth Sci Infect Dis Inst Kampala Uganda;

Makerere Univ Coll Hlth Sci Infect Dis Inst Kampala Uganda;

Makerere Univ Coll Hlth Sci Infect Dis Inst Kampala Uganda;

Univ Zurich Univ Hosp Zurich Div Infect Dis Zurich Switzerland;

Univ Hosp Zurich Inst Diagnost &

Intervent Radiol Raemistr 100 CH-8091 Zurich Switzerland;

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原文格式 PDF
正文语种 eng
中图分类传染病;
关键词
CXR; teleradiology; TB; Deep Learning; chest radiograph;

机译：CXR;遥控学;TB;深度学习;胸部X射线照片;

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专利

1. Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study [J] . Becker A. S., Bluthgen C., Van V. D. Phi, The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease . 2018,第3期

机译：深入学习检测胸部X射线图像数字照片中的结核模式：可行性研究
2. Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors [J] . Ayaz Muhammad, Shaukat Furqan, Raja Gulistan Australasian physical & engineering sciences in medicine . 2021,第1期

机译：基于学习的基于学习的胸部X射线图像中结核的自动检测使用混合特征描述符
3. Deep learning based detection of COVID-19 from chest X-ray images [J] . Guefrechi Sarra, Ben Jabra Marwa, Ammar Adel, Multimedia Tools and Applications . 2021,第21a23期

机译：基于深度学习的Covid-19来自胸部X射线图像的检测
4. Deep Learning Models for Tuberculosis Detection from Chest X-ray Images [C] . Quang H. Nguyen, Binh P. Nguyen, Son D. Dao, International Conference on Telecommunications . 2019

机译：从胸部X射线图像检测结核病的深度学习模型
5. Detecting Coronavirus Disease 2019 Pneumonia in Chest X-Ray Images Using Deep Learning [D] . Zhu, Ziqi. 2020

机译：用深入学习检测冠状病毒疾病2019胸X射线图像肺炎
6. COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning [O] . Nur-A-Alam, Mominul Ahsan, Md. Abdul Based, 2021

机译：Covid-19使用特征融合和深度学习的胸部X射线图像检测
7. Ensemble deep learning for tuberculosis detection using chest X-ray and canny edge detected images [O] . Mohd Hanafi Ahmad Hijazi, Stefanus Kieu Tao Hwa, Abdullah Bade, 2019

机译：使用胸部X射线和罐头边缘检测到图像的结核检测集合深度学习
8. Preprocessing and Feature Extraction of Picture Patterns--With Application to Chest X-Ray Images, [R] . chien, y. p. fu, k. s. 1974

机译：图像模式的预处理和特征提取 - 应用于胸部X射线图像，

Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study

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