140 related articles for article (PubMed ID: 38150139)
1. CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification.
Hasanah U; Avian C; Darmawan JT; Bachroin N; Faisal M; Prakosa SW; Leu JS; Tsai CT
Int J Cardiovasc Imaging; 2024 Apr; 40(4):709-722. PubMed ID: 38150139
[TBL] [Abstract][Full Text] [Related]
2. SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images.
Liu H; Wang L; Nan Y; Jin F; Wang Q; Pu J
Comput Med Imaging Graph; 2019 Jul; 75():66-73. PubMed ID: 31174100
[TBL] [Abstract][Full Text] [Related]
3. Weighing features of lung and heart regions for thoracic disease classification.
Fang J; Xu Y; Zhao Y; Yan Y; Liu J; Liu J
BMC Med Imaging; 2021 Jun; 21(1):99. PubMed ID: 34112095
[TBL] [Abstract][Full Text] [Related]
4. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
Taylor AG; Mielke C; Mongan J
PLoS Med; 2018 Nov; 15(11):e1002697. PubMed ID: 30457991
[TBL] [Abstract][Full Text] [Related]
5. Automatic Localization and Identification of Thoracic Diseases from Chest X-rays with Deep Learning.
Zhang S; Tang T; Peng X; Zhang Y; Yang W; Li W; Xin X; Zhang J; Wang W; Zhang B
Curr Med Imaging; 2022; 18(13):1416-1425. PubMed ID: 35593336
[TBL] [Abstract][Full Text] [Related]
6. Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study.
Albahli S; Yar GNAH
J Med Internet Res; 2021 Feb; 23(2):e23693. PubMed ID: 33529154
[TBL] [Abstract][Full Text] [Related]
7. Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images.
Behzadi-Khormouji H; Rostami H; Salehi S; Derakhshande-Rishehri T; Masoumi M; Salemi S; Keshavarz A; Gholamrezanezhad A; Assadi M; Batouli A
Comput Methods Programs Biomed; 2020 Mar; 185():105162. PubMed ID: 31715332
[TBL] [Abstract][Full Text] [Related]
8. Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.
Minaee S; Kafieh R; Sonka M; Yazdani S; Jamalipour Soufi G
Med Image Anal; 2020 Oct; 65():101794. PubMed ID: 32781377
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.
Seah JCY; Tang CHM; Buchlak QD; Holt XG; Wardman JB; Aimoldin A; Esmaili N; Ahmad H; Pham H; Lambert JF; Hachey B; Hogg SJF; Johnston BP; Bennett C; Oakden-Rayner L; Brotchie P; Jones CM
Lancet Digit Health; 2021 Aug; 3(8):e496-e506. PubMed ID: 34219054
[TBL] [Abstract][Full Text] [Related]
11. Dense networks with relative location awareness for thorax disease identification.
Liang X; Peng C; Qiu B; Li B
Med Phys; 2019 May; 46(5):2064-2073. PubMed ID: 30927448
[TBL] [Abstract][Full Text] [Related]
12. ThoraciNet: thoracic abnormality detection and disease classification using fusion DCNNs.
Gakhar M; Aggarwal A
Phys Eng Sci Med; 2022 Sep; 45(3):961-970. PubMed ID: 35635611
[TBL] [Abstract][Full Text] [Related]
13. CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization.
Mahmud T; Rahman MA; Fattah SA
Comput Biol Med; 2020 Jul; 122():103869. PubMed ID: 32658740
[TBL] [Abstract][Full Text] [Related]
14. Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs.
Devnath L; Luo S; Summons P; Wang D
Comput Biol Med; 2021 Feb; 129():104125. PubMed ID: 33310394
[TBL] [Abstract][Full Text] [Related]
15. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
Rajpurkar P; Irvin J; Ball RL; Zhu K; Yang B; Mehta H; Duan T; Ding D; Bagul A; Langlotz CP; Patel BN; Yeom KW; Shpanskaya K; Blankenberg FG; Seekins J; Amrhein TJ; Mong DA; Halabi SS; Zucker EJ; Ng AY; Lungren MP
PLoS Med; 2018 Nov; 15(11):e1002686. PubMed ID: 30457988
[TBL] [Abstract][Full Text] [Related]
16. Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.
Hwang EJ; Park S; Jin KN; Kim JI; Choi SY; Lee JH; Goo JM; Aum J; Yim JJ; Cohen JG; Ferretti GR; Park CM;
JAMA Netw Open; 2019 Mar; 2(3):e191095. PubMed ID: 30901052
[TBL] [Abstract][Full Text] [Related]
17. Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays.
Devnath L; Fan Z; Luo S; Summons P; Wang D
Int J Environ Res Public Health; 2022 Sep; 19(18):. PubMed ID: 36141457
[TBL] [Abstract][Full Text] [Related]
18. Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.
Gozes O; Greenspan H
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4076-4079. PubMed ID: 31946767
[TBL] [Abstract][Full Text] [Related]
19. Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images.
Salehi M; Mohammadi R; Ghaffari H; Sadighi N; Reiazi R
Br J Radiol; 2021 May; 94(1121):20201263. PubMed ID: 33861150
[TBL] [Abstract][Full Text] [Related]
20. Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images.
Guan Q; Huang Y; Luo Y; Liu P; Xu M; Yang Y
IEEE Trans Image Process; 2021; 30():2476-2487. PubMed ID: 33497335
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
