104 related articles for article (PubMed ID: 38742970)
1. Deep Learning Assessment of Small Renal Masses at Contrast-enhanced Multiphase CT.
Dai C; Xiong Y; Zhu P; Yao L; Lin J; Yao J; Zhang X; Huang R; Wang R; Hou J; Wang K; Shi Z; Chen F; Guo J; Zeng M; Zhou J; Wang S
Radiology; 2024 May; 311(2):e232178. PubMed ID: 38742970
[TBL] [Abstract][Full Text] [Related]
2. Differentiation of Small (≤ 4 cm) Renal Masses on Multiphase Contrast-Enhanced CT by Deep Learning.
Tanaka T; Huang Y; Marukawa Y; Tsuboi Y; Masaoka Y; Kojima K; Iguchi T; Hiraki T; Gobara H; Yanai H; Nasu Y; Kanazawa S
AJR Am J Roentgenol; 2020 Mar; 214(3):605-612. PubMed ID: 31913072
[No Abstract] [Full Text] [Related]
3. Deep Learning-based Detection of Solid and Cystic Pancreatic Neoplasms at Contrast-enhanced CT.
Park HJ; Shin K; You MW; Kyung SG; Kim SY; Park SH; Byun JH; Kim N; Kim HJ
Radiology; 2023 Jan; 306(1):140-149. PubMed ID: 35997607
[TBL] [Abstract][Full Text] [Related]
4. Differentiating adrenal metastases from benign lesions with multiphase CT imaging: Deep learning could play an active role in assisting radiologists.
Ma C; Feng B; Lin F; Lei Y; Xu K; Cui J; Liu Y; Long W; Cui E
Eur J Radiol; 2023 Dec; 169():111169. PubMed ID: 37956572
[TBL] [Abstract][Full Text] [Related]
5. A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.
Lin F; Ma C; Xu J; Lei Y; Li Q; Lan Y; Sun M; Long W; Cui E
Eur J Radiol; 2020 Aug; 129():109079. PubMed ID: 32526669
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning Algorithm for Fully Automated Detection of Small (≤4 cm) Renal Cell Carcinoma in Contrast-Enhanced Computed Tomography Using a Multicenter Database.
Toda N; Hashimoto M; Arita Y; Haque H; Akita H; Akashi T; Gobara H; Nishie A; Yakami M; Nakamoto A; Watadani T; Oya M; Jinzaki M
Invest Radiol; 2022 May; 57(5):327-333. PubMed ID: 34935652
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Renal Lesion Characterization with Spectral CT: Determining the Optimal Energy for Virtual Monoenergetic Reconstruction.
Schabel C; Patel B; Harring S; Duvnjak P; Ramírez-Giraldo JC; Nikolaou K; Nelson RC; Farjat AE; Marin D
Radiology; 2018 Jun; 287(3):874-883. PubMed ID: 29470937
[TBL] [Abstract][Full Text] [Related]
9. Virtual Unenhanced Images at Dual-Energy CT: Influence on Renal Lesion Characterization.
Meyer M; Nelson RC; Vernuccio F; González F; Farjat AE; Patel BN; Samei E; Henzler T; Schoenberg SO; Marin D
Radiology; 2019 May; 291(2):381-390. PubMed ID: 30860450
[TBL] [Abstract][Full Text] [Related]
10. Virtual Unenhanced Dual-Energy CT Images Obtained with a Multimaterial Decomposition Algorithm: Diagnostic Value for Renal Mass and Urinary Stone Evaluation.
Xiao JM; Hippe DS; Zecevic M; Zamora DA; Cai LM; Toia GV; Chandler AG; Dighe MK; O'Malley RB; Shuman WP; Wang CL; Mileto A
Radiology; 2021 Mar; 298(3):611-619. PubMed ID: 33464180
[TBL] [Abstract][Full Text] [Related]
11. Accuracy of Contrast-enhanced US for Differentiating Benign from Malignant Solid Small Renal Masses.
Atri M; Tabatabaeifar L; Jang HJ; Finelli A; Moshonov H; Jewett M
Radiology; 2015 Sep; 276(3):900-8. PubMed ID: 25919803
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Deep learning for colorectal cancer detection in contrast-enhanced CT without bowel preparation: a retrospective, multicentre study.
Yao L; Li S; Tao Q; Mao Y; Dong J; Lu C; Han C; Qiu B; Huang Y; Huang X; Liang Y; Lin H; Guo Y; Liang Y; Chen Y; Lin J; Chen E; Jia Y; Chen Z; Zheng B; Ling T; Liu S; Tong T; Cao W; Zhang R; Chen X; Liu Z
EBioMedicine; 2024 Jun; 104():105183. PubMed ID: 38848616
[TBL] [Abstract][Full Text] [Related]
14. Prevalence of Solid Tumors in Incidentally Detected Homogeneous Renal Masses Measuring > 20 HU on Portal Venous Phase CT.
Corwin MT; Hansra SS; Loehfelm TW; Lamba R; Fananapazir G
AJR Am J Roentgenol; 2018 Sep; 211(3):W173-W177. PubMed ID: 29995501
[TBL] [Abstract][Full Text] [Related]
15. Development of an AI system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data.
Wang M; Fu F; Zheng B; Bai Y; Wu Q; Wu J; Sun L; Liu Q; Liu M; Yang Y; Shen H; Kong D; Ma X; You P; Li X; Tian F
Br J Cancer; 2021 Oct; 125(8):1111-1121. PubMed ID: 34365472
[TBL] [Abstract][Full Text] [Related]
16. Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study.
Kang HJ; Lee JM; Ahn C; Bae JS; Han S; Kim SW; Yoon JH; Han JK
Eur Radiol; 2023 May; 33(5):3660-3670. PubMed ID: 36934202
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning to Differentiate Benign and Malignant Vertebral Fractures at Multidetector CT.
Foreman SC; Schinz D; El Husseini M; Goller SS; Weißinger J; Dietrich AS; Renz M; Metz MC; Feuerriegel GC; Wiestler B; Stahl R; Schwaiger BJ; Makowski MR; Kirschke JS; Gersing AS
Radiology; 2024 Mar; 310(3):e231429. PubMed ID: 38530172
[TBL] [Abstract][Full Text] [Related]
18. Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice.
Liang CH; Liu YC; Wu MT; Garcia-Castro F; Alberich-Bayarri A; Wu FZ
Clin Radiol; 2020 Jan; 75(1):38-45. PubMed ID: 31521323
[TBL] [Abstract][Full Text] [Related]
19. Contrast-enhanced ultrasound for differentiating benign from malignant solid small renal masses: comparison with contrast-enhanced CT.
Wei SP; Xu CL; Zhang Q; Zhang QR; Zhao YE; Huang PF; Xie YD; Zhou CS; Tian FL; Yang B
Abdom Radiol (NY); 2017 Aug; 42(8):2135-2145. PubMed ID: 28331942
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]