157 related articles for article (PubMed ID: 37789095)
1. Improving diagnosis accuracy with an intelligent image retrieval system for lung pathologies detection: a features extractor approach.
Souid A; Alsubaie N; Soufiene BO; Alqahtani MS; Abbas M; Jambi LK; Sakli H
Sci Rep; 2023 Oct; 13(1):16619. PubMed ID: 37789095
[TBL] [Abstract][Full Text] [Related]
2. Intelligent Solutions in Chest Abnormality Detection Based on YOLOv5 and ResNet50.
Luo Y; Zhang Y; Sun X; Dai H; Chen X
J Healthc Eng; 2021; 2021():2267635. PubMed ID: 34691373
[TBL] [Abstract][Full Text] [Related]
3. Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
Rueckel J; Kunz WG; Hoppe BF; Patzig M; Notohamiprodjo M; Meinel FG; Cyran CC; Ingrisch M; Ricke J; Sabel BO
Crit Care Med; 2020 Jul; 48(7):e574-e583. PubMed ID: 32433121
[TBL] [Abstract][Full Text] [Related]
4. Object recognition in medical images via anatomy-guided deep learning.
Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
[TBL] [Abstract][Full Text] [Related]
5. Centralized contrastive loss with weakly supervised progressive feature extraction for fine-grained common thorax disease retrieval in chest x-ray.
Chen F; You L; Zhao W; Zhou X
Med Phys; 2023 Jun; 50(6):3560-3572. PubMed ID: 36515554
[TBL] [Abstract][Full Text] [Related]
6. Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images.
Shaheed K; Abbas Q; Hussain A; Qureshi I
Diagnostics (Basel); 2023 Aug; 13(15):. PubMed ID: 37568946
[TBL] [Abstract][Full Text] [Related]
7. A review on lung boundary detection in chest X-rays.
Candemir S; Antani S
Int J Comput Assist Radiol Surg; 2019 Apr; 14(4):563-576. PubMed ID: 30730032
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging.
Yeo M; Tahayori B; Kok HK; Maingard J; Kutaiba N; Russell J; Thijs V; Jhamb A; Chandra RV; Brooks M; Barras CD; Asadi H
Eur Radiol Exp; 2023 Apr; 7(1):17. PubMed ID: 37032417
[TBL] [Abstract][Full Text] [Related]
9. X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study.
Willer K; Fingerle AA; Noichl W; De Marco F; Frank M; Urban T; Schick R; Gustschin A; Gleich B; Herzen J; Koehler T; Yaroshenko A; Pralow T; Zimmermann GS; Renger B; Sauter AP; Pfeiffer D; Makowski MR; Rummeny EJ; Grenier PA; Pfeiffer F
Lancet Digit Health; 2021 Nov; 3(11):e733-e744. PubMed ID: 34711378
[TBL] [Abstract][Full Text] [Related]
10. A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.
Yan C; Wang L; Lin J; Xu J; Zhang T; Qi J; Li X; Ni W; Wu G; Huang J; Xu Y; Woodruff HC; Lambin P
Eur Radiol; 2022 Apr; 32(4):2188-2199. PubMed ID: 34842959
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images.
Ni Q; Sun ZY; Qi L; Chen W; Yang Y; Wang L; Zhang X; Yang L; Fang Y; Xing Z; Zhou Z; Yu Y; Lu GM; Zhang LJ
Eur Radiol; 2020 Dec; 30(12):6517-6527. PubMed ID: 32617690
[TBL] [Abstract][Full Text] [Related]
13. A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images.
Attallah O
Digit Health; 2022; 8():20552076221092543. PubMed ID: 35433024
[TBL] [Abstract][Full Text] [Related]
14. Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning.
Ma L; Wang Y; Guo L; Zhang Y; Wang P; Pei X; Qian L; Jaeger S; Ke X; Yin X; Lure FYM
J Xray Sci Technol; 2020; 28(5):939-951. PubMed ID: 32651351
[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. Artificial intelligence model for tumoral clinical decision support systems.
Iglesias G; Talavera E; Troya J; Díaz-Álvarez A; García-Remesal M
Comput Methods Programs Biomed; 2024 Aug; 253():108228. PubMed ID: 38810378
[TBL] [Abstract][Full Text] [Related]
17. COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images.
Reis HC; Turk V
Artif Intell Med; 2022 Dec; 134():102427. PubMed ID: 36462906
[TBL] [Abstract][Full Text] [Related]
18. Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.
Yang Y; Lure FYM; Miao H; Zhang Z; Jaeger S; Liu J; Guo L
J Xray Sci Technol; 2021; 29(1):1-17. PubMed ID: 33164982
[TBL] [Abstract][Full Text] [Related]
19. Effective and efficient content-based similarity retrieval of large lung CT images based on WSSLN model.
Zhuang Y; Jiang N
PLoS One; 2023; 18(9):e0285573. PubMed ID: 37773944
[TBL] [Abstract][Full Text] [Related]
20. Computerized detection of diffuse lung disease in MDCT: the usefulness of statistical texture features.
Wang J; Li F; Doi K; Li Q
Phys Med Biol; 2009 Nov; 54(22):6881-99. PubMed ID: 19864701
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
