---
# System prepended metadata

title: 民生醫院智慧城鄉專案
tags: [Algorithm, Project]

---

民生醫院智慧城鄉專案
===
###### tags: `Project` `Algorithm`

## Tuberculosis
> ### Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
>> https://arxiv.org/pdf/2007.14895.pdf
> ### Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
>> https://arxiv.org/pdf/2105.07540.pdf
> ### Ensemble deep learning for tuberculosis detection using chest X-Ray and canny edge detected images
>> https://www.researchgate.net/publication/339600696_Ensemble_deep_learning_for_tuberculosis_detection_using_chest_X-ray_and_canny_edge_detected_images
> ### Rethinking Computer-aided Tuberculosis Diagnosis
> https://openaccess.thecvf.com/content_CVPR_2020/papers/Liu_Rethinking_Computer-Aided_Tuberculosis_Diagnosis_CVPR_2020_paper.pdf
> ### DIGITAL CHEST RADIOGRAPHY AND COMPUTER-AIDED DETECTION (CAD) SOLUTIONS FOR TUBERCULOSIS DIAGNOSTICS TECHNOLOGY LANDSCAPE ANALYSIS
>> https://www.finddx.org/wp-content/uploads/2021/04/FIND-CXR-CAD-solutions-for-TB-diagnosis-7Apr2021-2pg-spread.pdf
> ### A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers
>> https://www.sciencedirect.com/science/article/pii/S147297922030216X
> ### A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers
>> https://www.sciencedirect.com/science/article/pii/S147297922030216X

> ### Detection of Tuberculosis based on Deep Learning based methods
>> https://iopscience.iop.org/article/10.1088/1742-6596/1767/1/012004/pdf

## Product
> ## CAD4TB
>> ### White Paper
>>>  https://thirona.eu/wp-content/uploads/2019/05/CAD4TB_6.0.0_WhitePaper.pdf
>>> https://www.delft.care/cad4tb/
>>> https://grand-challenge.org/aiforradiology/product/thirona-cad4tb/
>>> https://stoptb.org/assets/documents/news/210701%20-%20Delft%20Imaging%20-%20EECA%20Regional%20Webinar.pdf
>>> https://www.challengetb.org/publications/tools/briefs/Zambia_ACF_Technical_Brief.pdf
>> ### 國際抗癆聯盟世界年會分享
>>> http://www.tstld.org/upload/ckfinder/files/第35期.pdf
>> ### Paper
>>> Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
>>>> https://www.nature.com/articles/s41598-020-62148-y

>>> Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6system
>>>> https://arxiv.org/pdf/1903.03349.pdf

>>> Screening and Triage for TB using Computer-Aided Detection (CAD) Technology and Ultra-portable X-Ray Systems: A Practical Guide
>>>> https://stoptb.org/assets/documents/dhthub/Screening%20and%20Triage%20for%20TB%20using%20Computer-Aided%20Detection%20(CAD)%20Technology%20and%20Ultra-portable%20X-Ray%20Systems-A%20Practical%20Guide%20.pdf

> ### Product/Algorithm Evaluation
>> Evaluation of computer aided detection of tuberculosis on chest radiography among people with diabetes in Karachi pakistan
>>> https://researchonline.lshtm.ac.uk/id/eprint/4656446/1/Habib-etal-2020_evaluation_of_computer_aided_detection.pdf

>> An evaluation of automated chest radiography reading software for tuberculosis screening among publicand private-sector patients
>>> https://stoptb-strategicinitiative.org/wp-content/uploads/2018/08/PU-2-an-evaluaton-of-utomated-chest-radiography-TB.pdf

>> Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease
>>> https://www.thelancet.com/pdfs/journals/landig/PIIS2589-7500(20)30221-1.pdf

>> Using artifcial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems
>>> https://www.scienceopen.com/document_file/a68c4415-bae2-43fe-b412-ef55b6e74069/PubMedCentral/a68c4415-bae2-43fe-b412-ef55b6e74069.pdf

>> Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms
>>> https://www.sciencedirect.com/science/article/pii/S2589750021001163

>> Use of targeted mobile X-ray screening and computer-aided detection software to identify tuberculosis among high-risk groups in Romania: descriptive results of the E-DETECT TB active case-finding project
>>> https://bmjopen.bmj.com/content/11/8/e045289 

>> Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest X-rays? An evaluation of five AI products for TB triaging in a high TB burden setting
>>> https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3702975

>> A public-private model to scale up diabetes mellitus screening among people accessing tuberculosis diagnostics in Dhaka,Bangladesh
>>> https://www.ijidonline.com/article/S1201-9712(20)30003-5/pdf
 
>> Integrated screening and testing for TB and COVID-19 in Peru
>>> https://static1.squarespace.com/static/5797394c579fb38c6e1ecdb4/t/6269be974a79d3621fd62ced/1651097239337/Tovar_TB+Movil+COVID.pdf

>> Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India
>>> https://www.researchgate.net/publication/338585672_Deep_learning_computer-aided_radiography_reading_for_tuberculosis_a_diagnostic_accuracy_study_from_a_tertiary_hospital_in_India 


## 人工智慧結核病鏡檢系統
>> https://med.ncku.edu.tw/var/file/15/1015/img/4189/31-2_13.pdf
>> https://meet.bnext.com.tw/articles/view/45664
>> 
## CXR standardization
> ### A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
> https://www.nature.com/articles/s41551-021-00704-1.pdf
> ### Validating deep learning inference during chest X‑ray classifcation for COVID‑19 screening
>https://www.nature.com/articles/s41598-021-95561-y.pdf