160 related articles for article (PubMed ID: 35344077)
1. A deep learning algorithm to improve readers' interpretation and speed of pancreatic cystic lesions on dual-phase enhanced CT.
Wang X; Sun Z; Xue H; Qu T; Cheng S; Li J; Li Y; Mao L; Li X; Zhu L; Li X; Zhang L; Jin Z; Yu Y
Abdom Radiol (NY); 2022 Jun; 47(6):2135-2147. PubMed ID: 35344077
[TBL] [Abstract][Full Text] [Related]
2. Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists.
Meng J; Luo Z; Chen Z; Zhou J; Chen Z; Lu B; Zhang M; Wang Y; Yuan C; Shen X; Huang Q; Zhang Z; Ye Z; Cao Q; Zhou Z; Xu Y; Mao R; Chen M; Sun C; Li Z; Feng ST; Meng X; Huang B; Li X
Eur Radiol; 2022 Dec; 32(12):8692-8705. PubMed ID: 35616733
[TBL] [Abstract][Full Text] [Related]
3. Should All Pancreatic Cystic Lesions with Worrisome or High-Risk Features Be Resected? A Clinical and Radiological Machine Learning Model May Help to Answer.
Deng W; Liu J; Wang X; Xie F; Wang S; Zhang X; Mao L; Li X; Hu Y; Jin Z; Xue H
Acad Radiol; 2024 May; 31(5):1889-1897. PubMed ID: 37977893
[TBL] [Abstract][Full Text] [Related]
4. Deep learning-assisted diagnosis of benign and malignant parotid tumors based on contrast-enhanced CT: a multicenter study.
Yu Q; Ning Y; Wang A; Li S; Gu J; Li Q; Chen X; Lv F; Zhang X; Yue Q; Peng J
Eur Radiol; 2023 Sep; 33(9):6054-6065. PubMed ID: 37067576
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Evaluation of a deep learning model on coronary CT angiography for automatic stenosis detection.
Paul JF; Rohnean A; Giroussens H; Pressat-Laffouilhere T; Wong T
Diagn Interv Imaging; 2022 Jun; 103(6):316-323. PubMed ID: 35090845
[TBL] [Abstract][Full Text] [Related]
7. Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation.
Liu KL; Wu T; Chen PT; Tsai YM; Roth H; Wu MS; Liao WC; Wang W
Lancet Digit Health; 2020 Jun; 2(6):e303-e313. PubMed ID: 33328124
[TBL] [Abstract][Full Text] [Related]
8. Difference analysis in prevalence of incidental pancreatic cystic lesions between computed tomography and magnetic resonance imaging.
Zhu S; Wang WT; Shang XS; Ni T; Wu WC; Lou WH; Zeng MS; Rao SX
BMC Med Imaging; 2019 May; 19(1):43. PubMed ID: 31126251
[TBL] [Abstract][Full Text] [Related]
9. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic performance of dual-energy CT and subtraction CT for renal lesion detection and characterization.
Pourvaziri A; Parakh A; Mojtahed A; Kambadakone A; Sahani DV
Eur Radiol; 2019 Dec; 29(12):6559-6570. PubMed ID: 31134365
[TBL] [Abstract][Full Text] [Related]
11. Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal Tumors.
Kang B; Yuan X; Wang H; Qin S; Song X; Yu X; Zhang S; Sun C; Zhou Q; Wei Y; Shi F; Yang S; Wang X
Front Oncol; 2021; 11():750875. PubMed ID: 34631589
[TBL] [Abstract][Full Text] [Related]
12. Real-Time Ultrasound-Computed Tomography Fusion with Volume Navigation to Assess Pancreatic Cystic Lesions.
Mathew M; Virarkar M; Sun J; Thai K; Saleh M; Menendez-Santos M; Bedi D; Lee JE; Katz M; Kundra V; Bhosale P
Curr Oncol; 2023 Sep; 30(9):8375-8385. PubMed ID: 37754523
[TBL] [Abstract][Full Text] [Related]
13. Deep-Learning-Enabled Computer-Aided Diagnosis in the Classification of Pancreatic Cystic Lesions on Confocal Laser Endomicroscopy.
Lee TC; Angelina CL; Kongkam P; Wang HP; Rerknimitr R; Han ML; Chang HT
Diagnostics (Basel); 2023 Mar; 13(7):. PubMed ID: 37046507
[TBL] [Abstract][Full Text] [Related]
14. Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.
Choi H; Chang W; Kim JH; Ahn C; Lee H; Kim HY; Cho J; Lee YJ; Kim YH
Eur Radiol; 2022 Feb; 32(2):1247-1255. PubMed ID: 34390372
[TBL] [Abstract][Full Text] [Related]
15. Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm.
Dana J; Lefebvre TL; Savadjiev P; Bodard S; Gauvin S; Bhatnagar SR; Forghani R; Hélénon O; Reinhold C
Eur Radiol; 2022 Jun; 32(6):4116-4127. PubMed ID: 35066631
[TBL] [Abstract][Full Text] [Related]
16. Development of a fully automatic deep learning system for L3 selection and body composition assessment on computed tomography.
Ha J; Park T; Kim HK; Shin Y; Ko Y; Kim DW; Sung YS; Lee J; Ham SJ; Khang S; Jeong H; Koo K; Lee J; Kim KW
Sci Rep; 2021 Nov; 11(1):21656. PubMed ID: 34737340
[TBL] [Abstract][Full Text] [Related]
17. Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.
Dalal V; Carmicheal J; Dhaliwal A; Jain M; Kaur S; Batra SK
Cancer Lett; 2020 Jan; 469():228-237. PubMed ID: 31629933
[TBL] [Abstract][Full Text] [Related]
18. Differentiating pancreatic cystic neoplasms from pancreatic pseudocysts at MR imaging: value of perceived internal debris.
Macari M; Finn ME; Bennett GL; Cho KC; Newman E; Hajdu CH; Babb JS
Radiology; 2009 Apr; 251(1):77-84. PubMed ID: 19332847
[TBL] [Abstract][Full Text] [Related]
19. MDCT imaging findings for characterization pancreatic cystic lesion: differentiation between benign and malignant pattern.
Pongpornsup S; Piyapittayanan S; Charoensak A
J Med Assoc Thai; 2011 Mar; 94(3):369-78. PubMed ID: 21560846
[TBL] [Abstract][Full Text] [Related]
20. PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features.
Huang W; Wang J; Wang H; Zhang Y; Zhao F; Li K; Su L; Kang F; Cao X
Front Pharmacol; 2022; 13():898529. PubMed ID: 35571081
[No Abstract] [Full Text] [Related]
[Next] [New Search]
