336 related articles for article (PubMed ID: 31000728)
1. Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization.
Pasa F; Golkov V; Pfeiffer F; Cremers D; Pfeiffer D
Sci Rep; 2019 Apr; 9(1):6268. PubMed ID: 31000728
[TBL] [Abstract][Full Text] [Related]
2. Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.
Majeed T; Rashid R; Ali D; Asaad A
Phys Eng Sci Med; 2020 Dec; 43(4):1289-1303. PubMed ID: 33025386
[TBL] [Abstract][Full Text] [Related]
3. An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Souza JC; Bandeira Diniz JO; Ferreira JL; França da Silva GL; Corrêa Silva A; de Paiva AC
Comput Methods Programs Biomed; 2019 Aug; 177():285-296. PubMed ID: 31319957
[TBL] [Abstract][Full Text] [Related]
4. Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.
Xie Y; Wu Z; Han X; Wang H; Wu Y; Cui L; Feng J; Zhu Z; Chen Z
J Healthc Eng; 2020; 2020():9205082. PubMed ID: 32908660
[TBL] [Abstract][Full Text] [Related]
5. Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review.
Santosh KC; Allu S; Rajaraman S; Antani S
J Med Syst; 2022 Oct; 46(11):82. PubMed ID: 36241922
[TBL] [Abstract][Full Text] [Related]
6. Differentiation Between Anteroposterior and Posteroanterior Chest X-Ray View Position With Convolutional Neural Networks.
Hosch R; Kroll L; Nensa F; Koitka S
Rofo; 2021 Feb; 193(2):168-176. PubMed ID: 32615636
[TBL] [Abstract][Full Text] [Related]
7. Proposing a novel multi-instance learning model for tuberculosis recognition from chest X-ray images based on CNNs, complex networks and stacked ensemble.
Khatibi T; Shahsavari A; Farahani A
Phys Eng Sci Med; 2021 Mar; 44(1):291-311. PubMed ID: 33616887
[TBL] [Abstract][Full Text] [Related]
8. E-TBNet: Light Deep Neural Network for Automatic Detection of Tuberculosis with X-ray DR Imaging.
An L; Peng K; Yang X; Huang P; Luo Y; Feng P; Wei B
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161567
[TBL] [Abstract][Full Text] [Related]
9. Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review.
Hansun S; Argha A; Liaw ST; Celler BG; Marks GB
J Med Internet Res; 2023 Jul; 25():e43154. PubMed ID: 37399055
[TBL] [Abstract][Full Text] [Related]
10. CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images.
Lee YW; Huang SK; Chang RF
Artif Intell Med; 2022 Oct; 132():102382. PubMed ID: 36207088
[TBL] [Abstract][Full Text] [Related]
11. SOM-LWL method for identification of COVID-19 on chest X-rays.
Osman AH; Aljahdali HM; Altarrazi SM; Ahmed A
PLoS One; 2021; 16(2):e0247176. PubMed ID: 33626053
[TBL] [Abstract][Full Text] [Related]
12. A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images.
Rasheed J; Hameed AA; Djeddi C; Jamil A; Al-Turjman F
Interdiscip Sci; 2021 Mar; 13(1):103-117. PubMed ID: 33387306
[TBL] [Abstract][Full Text] [Related]
13. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
14. Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors.
Ayaz M; Shaukat F; Raja G
Phys Eng Sci Med; 2021 Mar; 44(1):183-194. PubMed ID: 33459996
[TBL] [Abstract][Full Text] [Related]
15. Transfer learning for informative-frame selection in laryngoscopic videos through learned features.
Patrini I; Ruperti M; Moccia S; Mattos LS; Frontoni E; De Momi E
Med Biol Eng Comput; 2020 Jun; 58(6):1225-1238. PubMed ID: 32212052
[TBL] [Abstract][Full Text] [Related]
16. An Attention-Guided Deep Neural Network for Annotating Abnormalities in Chest X-ray Images: Visualization of Network Decision Basis
Saednia K; Jalalifar A; Ebrahimi S; Sadeghi-Naini A
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1258-1261. PubMed ID: 33018216
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
El-Khatib H; Popescu D; Ichim L
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
[TBL] [Abstract][Full Text] [Related]
18. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.
Hassanzadeh H; Nguyen A; Karimi S; Chu K
J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067
[TBL] [Abstract][Full Text] [Related]
19. Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.
Jadhav A; Wong KCL; Wu JT; Moradi M; Syeda-Mahmood T
AMIA Annu Symp Proc; 2020; 2020():593-601. PubMed ID: 33936433
[TBL] [Abstract][Full Text] [Related]
20. Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization.
Wang S; Xing Y; Zhang L; Gao H; Zhang H
Comput Math Methods Med; 2019; 2019():7546215. PubMed ID: 31641370
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
