113 related articles for article (PubMed ID: 38082797)
1. Mining Whole-liver Information with Deep Learning for Preoperatively Predicting HCC Recurrence-free Survival
Huang C; Hu P; Tian Y; Gao Y; Wang Y; Zhang Q; Liang T; Li J
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082797
[TBL] [Abstract][Full Text] [Related]
2. Whole-Liver Based Deep Learning for Preoperatively Predicting Overall Survival in Patients with Hepatocellular Carcinoma.
Huang C; Hu P; Tian Y; Wang Y; Gao Y; Qi Q; Zhang Q; Liang T; Li J
Stud Health Technol Inform; 2024 Jan; 310():926-930. PubMed ID: 38269944
[TBL] [Abstract][Full Text] [Related]
3. Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma.
Yang Y; Zhou Y; Zhou C; Ma X
Eur J Surg Oncol; 2022 May; 48(5):1068-1077. PubMed ID: 34862094
[TBL] [Abstract][Full Text] [Related]
4. Radiomics model based on contrast-enhanced computed tomography to predict early recurrence in patients with hepatocellular carcinoma after radical resection.
Li SQ; Su LL; Xu TF; Ren LY; Chen DB; Qin WY; Yan XZ; Fan JX; Chen HS; Liao WJ
World J Gastroenterol; 2023 Jul; 29(26):4186-4199. PubMed ID: 37475840
[TBL] [Abstract][Full Text] [Related]
5. Radiomics analysis of ultrasound to predict recurrence of hepatocellular carcinoma after microwave ablation.
Wu JP; Ding WZ; Wang YL; Liu S; Zhang XQ; Yang Q; Cai WJ; Yu XL; Liu FY; Kong D; Zhong H; Yu J; Liang P
Int J Hyperthermia; 2022; 39(1):595-604. PubMed ID: 35435082
[TBL] [Abstract][Full Text] [Related]
6. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
[TBL] [Abstract][Full Text] [Related]
7. A deep survival interpretable radiomics model of hepatocellular carcinoma patients.
Wei L; Owen D; Rosen B; Guo X; Cuneo K; Lawrence TS; Ten Haken R; El Naqa I
Phys Med; 2021 Feb; 82():295-305. PubMed ID: 33714190
[TBL] [Abstract][Full Text] [Related]
8. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.
Ji GW; Zhu FP; Xu Q; Wang K; Wu MY; Tang WW; Li XC; Wang XH
EBioMedicine; 2019 Dec; 50():156-165. PubMed ID: 31735556
[TBL] [Abstract][Full Text] [Related]
9. Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram.
Xu Z; An C; Shi F; Ren H; Li Y; Chen S; Dou J; Wang Y; Yan S; Lu J; Chen H
Eur Radiol; 2023 Dec; 33(12):9038-9051. PubMed ID: 37498380
[TBL] [Abstract][Full Text] [Related]
10. Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask.
Xu Y; Zhao J; Chen Q; Wang F; Lin L; Hu H; Tong R; Li J; Chen YW
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083328
[TBL] [Abstract][Full Text] [Related]
11. Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.
Song D; Wang Y; Wang W; Wang Y; Cai J; Zhu K; Lv M; Gao Q; Zhou J; Fan J; Rao S; Wang M; Wang X
J Cancer Res Clin Oncol; 2021 Dec; 147(12):3757-3767. PubMed ID: 33839938
[TBL] [Abstract][Full Text] [Related]
12. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
[TBL] [Abstract][Full Text] [Related]
13. Development of preoperative prognostic models including radiological features for survival of singular nodular HCC patients.
Ding DY; Liu L; Li HL; Gan XJ; Ding WB; Gu FM; Sun DP; Li W; Pan ZY; Yuan SX; Zhou WP
Hepatobiliary Pancreat Dis Int; 2023 Feb; 22(1):72-80. PubMed ID: 35428596
[TBL] [Abstract][Full Text] [Related]
14. Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram.
Yuan C; Wang Z; Gu D; Tian J; Zhao P; Wei J; Yang X; Hao X; Dong D; He N; Sun Y; Gao W; Feng J
Cancer Imaging; 2019 Apr; 19(1):21. PubMed ID: 31027510
[TBL] [Abstract][Full Text] [Related]
15. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
[TBL] [Abstract][Full Text] [Related]
16. An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer.
He T; Fong JN; Moore LW; Ezeana CF; Victor D; Divatia M; Vasquez M; Ghobrial RM; Wong STC
Comput Med Imaging Graph; 2021 Apr; 89():101894. PubMed ID: 33725579
[TBL] [Abstract][Full Text] [Related]
17. A radiomics-based model can predict recurrence-free survival of hepatocellular carcinoma after curative ablation.
Peng W; Jiang X; Zhang W; Hu J; Zhang Y; Zhang L
Asian J Surg; 2023 Jul; 46(7):2689-2696. PubMed ID: 36351862
[TBL] [Abstract][Full Text] [Related]
18. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
[TBL] [Abstract][Full Text] [Related]
19. Prediction of 3-year recurrence rate of hepatocellular carcinoma after resection based on contrast-enhanced CT: a single-centre study.
Lv C; He N; Yang JJ; Xiao JJ; Zhang Y; Du J; Zuo S; Li HY; Gu H
Br J Radiol; 2023 Apr; 96(1145):20220702. PubMed ID: 36745047
[TBL] [Abstract][Full Text] [Related]
20. Tumor and peritumor radiomics analysis based on contrast-enhanced CT for predicting early and late recurrence of hepatocellular carcinoma after liver resection.
Li N; Wan X; Zhang H; Zhang Z; Guo Y; Hong D
BMC Cancer; 2022 Jun; 22(1):664. PubMed ID: 35715783
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
