262 related articles for article (PubMed ID: 35624426)
1. Deep transfer learning to quantify pleural effusion severity in chest X-rays.
Huang T; Yang R; Shen L; Feng A; Li L; He N; Li S; Huang L; Lyu J
BMC Med Imaging; 2022 May; 22(1):100. PubMed ID: 35624426
[TBL] [Abstract][Full Text] [Related]
2. Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study.
Chang J; Lin BR; Wang TH; Chen CM
BMC Med Imaging; 2024 Apr; 24(1):92. PubMed ID: 38641591
[TBL] [Abstract][Full Text] [Related]
3. Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion.
Lind Plesner L; Müller FC; Brejnebøl MW; Laustrup LC; Rasmussen F; Nielsen OW; Boesen M; Brun Andersen M
Radiology; 2023 Sep; 308(3):e231236. PubMed ID: 37750768
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance.
Guo L; Zhou C; Xu J; Huang C; Yu Y; Lu G
J Imaging Inform Med; 2024 Jun; 37(3):922-934. PubMed ID: 38332402
[TBL] [Abstract][Full Text] [Related]
5. Deep-Learning-Based Diagnosis of Bedside Chest X-ray in Intensive Care and Emergency Medicine.
Niehues SM; Adams LC; Gaudin RA; Erxleben C; Keller S; Makowski MR; Vahldiek JL; Bressem KK
Invest Radiol; 2021 Aug; 56(8):525-534. PubMed ID: 33826549
[TBL] [Abstract][Full Text] [Related]
6. Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.
Gourdeau D; Potvin O; Archambault P; Chartrand-Lefebvre C; Dieumegarde L; Forghani R; Gagné C; Hains A; Hornstein D; Le H; Lemieux S; Lévesque MH; Martin D; Rosenbloom L; Tang A; Vecchio F; Yang I; Duchesne N; Duchesne S
Sci Rep; 2022 Apr; 12(1):5616. PubMed ID: 35379856
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Accuracy of artificial intelligence software for the detection of confirmed pleural effusion in thoracic radiographs in dogs.
Müller TR; Solano M; Tsunemi MH
Vet Radiol Ultrasound; 2022 Sep; 63(5):573-579. PubMed ID: 35452142
[TBL] [Abstract][Full Text] [Related]
9. Screening and staging of chronic obstructive pulmonary disease with deep learning based on chest X-ray images and clinical parameters.
Zou X; Ren Y; Yang H; Zou M; Meng P; Zhang L; Gong M; Ding W; Han L; Zhang T
BMC Pulm Med; 2024 Mar; 24(1):153. PubMed ID: 38532368
[TBL] [Abstract][Full Text] [Related]
10. Validation study of machine-learning chest radiograph software in primary and emergency medicine.
van Beek EJR; Ahn JS; Kim MJ; Murchison JT
Clin Radiol; 2023 Jan; 78(1):1-7. PubMed ID: 36171164
[TBL] [Abstract][Full Text] [Related]
11. Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.
Park S; Lee SM; Lee KH; Jung KH; Bae W; Choe J; Seo JB
Eur Radiol; 2020 Mar; 30(3):1359-1368. PubMed ID: 31748854
[TBL] [Abstract][Full Text] [Related]
12. External validation based on transfer learning for diagnosing atelectasis using portable chest X-rays.
Huang X; Li B; Huang T; Yuan S; Wu W; Yin H; Lyu J
Front Med (Lausanne); 2022; 9():920040. PubMed ID: 35935769
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.
Kim TK; Yi PH; Wei J; Shin JW; Hager G; Hui FK; Sair HI; Lin CT
J Digit Imaging; 2019 Dec; 32(6):925-930. PubMed ID: 30972585
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Deep Learning for Detection of Pneumothorax and Pleural Effusion on Chest Radiographs: Validation Against Computed Tomography, Impact on Resident Reading Time, and Interreader Concordance.
Tejani A; Dowling T; Sanampudi S; Yazdani R; Canan A; Malja E; Xi Y; Abbara S; Peshock RM; Kay FU
J Thorac Imaging; 2024 May; 39(3):185-193. PubMed ID: 37884394
[TBL] [Abstract][Full Text] [Related]
16. Automated Detection, Segmentation, and Classification of Pleural Effusion From Computed Tomography Scans Using Machine Learning.
Sexauer R; Yang S; Weikert T; Poletti J; Bremerich J; Roth JA; Sauter AW; Anastasopoulos C
Invest Radiol; 2022 Aug; 57(8):552-559. PubMed ID: 35797580
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Deep Learning to Quantify Pulmonary Edema in Chest Radiographs.
Horng S; Liao R; Wang X; Dalal S; Golland P; Berkowitz SJ
Radiol Artif Intell; 2021 Mar; 3(2):e190228. PubMed ID: 33937857
[TBL] [Abstract][Full Text] [Related]
19. Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review.
Feyisa DW; Ayano YM; Debelee TG; Schwenker F
Sensors (Basel); 2023 Jul; 23(15):. PubMed ID: 37571564
[TBL] [Abstract][Full Text] [Related]
20. Comparison of conventional chest x ray with a novel projection technique for ultra-low dose CT.
Carey S; Kandel S; Farrell C; Kavanagh J; Chung T; Hamilton W; Rogalla P
Med Phys; 2021 Jun; 48(6):2809-2815. PubMed ID: 32181495
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
