115 related articles for article (PubMed ID: 37889555)
21. Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.
Ma X; Xia L; Chen J; Wan W; Zhou W
Eur Radiol; 2023 Mar; 33(3):1949-1962. PubMed ID: 36169691
[TBL] [Abstract][Full Text] [Related]
22. Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction.
Nam JG; Hong JH; Kim DS; Oh J; Goo JM
Eur Radiol; 2021 Aug; 31(8):5533-5543. PubMed ID: 33555354
[TBL] [Abstract][Full Text] [Related]
23. Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.
Kim H; Park CM; Goo JM
Eur Radiol; 2020 Apr; 30(4):2346-2355. PubMed ID: 31900698
[TBL] [Abstract][Full Text] [Related]
24. Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.
Kim Y; Choi D; Lee KJ; Kang Y; Ahn JM; Lee E; Lee JW; Kang HS
Eur Radiol; 2020 May; 30(5):2843-2852. PubMed ID: 32025834
[TBL] [Abstract][Full Text] [Related]
25. Deep Learning-based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs.
Jang S; Song H; Shin YJ; Kim J; Kim J; Lee KW; Lee SS; Lee W; Lee S; Lee KH
Radiology; 2020 Sep; 296(3):652-661. PubMed ID: 32692300
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Commentary On: Image Quality Evaluation in Dual Energy CT of the Chest, Abdomen and Pelvis in Obese Patients with Deep Learning Image Reconstruction.
Jensen CT
J Comput Assist Tomogr; 2022 Jul-Aug 01; 46(4):612-613. PubMed ID: 35759780
[No Abstract] [Full Text] [Related]
28. Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.
Hwang EJ; Lee JS; Lee JH; Lim WH; Kim JH; Choi KS; Choi TW; Kim TH; Goo JM; Park CM
Radiology; 2021 Nov; 301(2):455-463. PubMed ID: 34463551
[TBL] [Abstract][Full Text] [Related]
29. Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels.
Schutera M; Rettenberger L; Pylatiuk C; Reischl M
PLoS One; 2022; 17(2):e0263656. PubMed ID: 35134081
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. [Noise Reduction Effect of Deep-learning-based Image Reconstruction Algorithms in Thin-section Chest CT].
Zeng W; Zeng LM; Xu X; Hu SX; Liu KL; Zhang JG; Peng WL; Xia CC; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):286-292. PubMed ID: 33829704
[TBL] [Abstract][Full Text] [Related]
32. Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.
Jiang B; Li N; Shi X; Zhang S; Li J; de Bock GH; Vliegenthart R; Xie X
Radiology; 2022 Apr; 303(1):202-212. PubMed ID: 35040674
[TBL] [Abstract][Full Text] [Related]
33. Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Zhong A; Li X; Wu D; Ren H; Kim K; Kim Y; Buch V; Neumark N; Bizzo B; Tak WY; Park SY; Lee YR; Kang MK; Park JG; Kim BS; Chung WJ; Guo N; Dayan I; Kalra MK; Li Q
Med Image Anal; 2021 May; 70():101993. PubMed ID: 33711739
[TBL] [Abstract][Full Text] [Related]
34. A semi-supervised learning-based quality evaluation system for digital chest radiographs.
Wei S; Qiu R; Pu Y; Hu A; Niu Y; Wu Z; Zhang H; Li J
Med Phys; 2023 Nov; 50(11):6789-6800. PubMed ID: 37543992
[TBL] [Abstract][Full Text] [Related]
35. Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.
Nam JG; Ahn C; Choi H; Hong W; Park J; Kim JH; Goo JM
Eur Radiol; 2021 Jul; 31(7):5139-5147. PubMed ID: 33415436
[TBL] [Abstract][Full Text] [Related]
36. Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image.
Nwosu L; Li X; Qian L; Kim S; Dong X
PLoS One; 2022; 17(11):e0276250. PubMed ID: 36383512
[TBL] [Abstract][Full Text] [Related]
37. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.
Singh R; Digumarthy SR; Muse VV; Kambadakone AR; Blake MA; Tabari A; Hoi Y; Akino N; Angel E; Madan R; Kalra MK
AJR Am J Roentgenol; 2020 Mar; 214(3):566-573. PubMed ID: 31967501
[No Abstract] [Full Text] [Related]
38. Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.
Gopatoti A; Vijayalakshmi P
J Xray Sci Technol; 2022; 30(3):491-512. PubMed ID: 35213339
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study.
Monteiro M; Newcombe VFJ; Mathieu F; Adatia K; Kamnitsas K; Ferrante E; Das T; Whitehouse D; Rueckert D; Menon DK; Glocker B
Lancet Digit Health; 2020 Jun; 2(6):e314-e322. PubMed ID: 33328125
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]