139 related articles for article (PubMed ID: 35921712)
21. Deep learning-assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver.
Oestmann PM; Wang CJ; Savic LJ; Hamm CA; Stark S; Schobert I; Gebauer B; Schlachter T; Lin M; Weinreb JC; Batra R; Mulligan D; Zhang X; Duncan JS; Chapiro J
Eur Radiol; 2021 Jul; 31(7):4981-4990. PubMed ID: 33409782
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Multi-phase contrast-enhanced magnetic resonance image-based radiomics-combined machine learning reveals microscopic ultra-early hepatocellular carcinoma lesions.
Sun K; Shi L; Qiu J; Pan Y; Wang X; Wang H
Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2917-2928. PubMed ID: 35230493
[TBL] [Abstract][Full Text] [Related]
24. The diagnostic performance of gadoxetic acid disodium-enhanced magnetic resonance imaging and contrast-enhanced multi-detector computed tomography in detecting hepatocellular carcinoma: a meta-analysis of eight prospective studies.
Li J; Wang J; Lei L; Yuan G; He S
Eur Radiol; 2019 Dec; 29(12):6519-6528. PubMed ID: 31250172
[TBL] [Abstract][Full Text] [Related]
25. [Hepatocellular carcinoma segmentation and pathological differentiation degree prediction method based on multi-task learning].
Wen H; Zhao Y; Yang Y; Wang H; Liu A; Yao Y; Fu Z
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Feb; 40(1):60-69. PubMed ID: 36854549
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. The clinical value of dual-energy computed tomography and diffusion-weighted imaging in the context of liver cancer: A narrative review.
Fan PL; Chu J; Wang Q; Wang C
J Clin Ultrasound; 2022 Jul; 50(6):862-868. PubMed ID: 35338779
[TBL] [Abstract][Full Text] [Related]
28. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images.
Aatresh AA; Alabhya K; Lal S; Kini J; Saxena PUP
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1549-1563. PubMed ID: 34053009
[TBL] [Abstract][Full Text] [Related]
29. Comparison of MRI and CT for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma Based on a Non-Radiomics and Radiomics Method: Which Imaging Modality Is Better?
Meng XP; Wang YC; Zhou JY; Yu Q; Lu CQ; Xia C; Tang TY; Xu J; Sun K; Xiao W; Ju S
J Magn Reson Imaging; 2021 Aug; 54(2):526-536. PubMed ID: 33622022
[TBL] [Abstract][Full Text] [Related]
30. Gd-EOB-DTPA dynamic contrast-enhanced magnetic resonance imaging is more effective than enhanced 64-slice CT for the detection of small lesions in patients with hepatocellular carcinoma.
Li J; Li X; Weng J; Lei L; Gong J; Wang J; Li Z; Zhang L; He S
Medicine (Baltimore); 2018 Dec; 97(52):e13964. PubMed ID: 30593219
[TBL] [Abstract][Full Text] [Related]
31. Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging.
Lei L; Du LX; He YL; Yuan JP; Wang P; Ye BL; Wang C; Hou Z
Front Oncol; 2023; 13():1123493. PubMed ID: 37091168
[TBL] [Abstract][Full Text] [Related]
32. Development and
Ma XH; Wang S; Liu SY; Chen K; Wu ZY; Li DF; Mi YT; Hu LB; Chen ZW; Zhao XM
World J Gastroenterol; 2019 Jun; 25(24):3030-3043. PubMed ID: 31293339
[TBL] [Abstract][Full Text] [Related]
33. Radiomics-based classification of hepatocellular carcinoma and hepatic haemangioma on precontrast magnetic resonance images.
Wu J; Liu A; Cui J; Chen A; Song Q; Xie L
BMC Med Imaging; 2019 Mar; 19(1):23. PubMed ID: 30866850
[TBL] [Abstract][Full Text] [Related]
34. MRI-based radiomics distinguish different pathological types of hepatocellular carcinoma.
Wang X; Wang S; Yin X; Zheng Y
Comput Biol Med; 2022 Feb; 141():105058. PubMed ID: 34836622
[TBL] [Abstract][Full Text] [Related]
35. Magnetic Resonance Imaging With Extracellular Contrast Detects Hepatocellular Carcinoma With Greater Accuracy Than With Gadoxetic Acid or Computed Tomography.
Min JH; Kim JM; Kim YK; Cha DI; Kang TW; Kim H; Choi GS; Choi SY; Ahn S
Clin Gastroenterol Hepatol; 2020 Aug; 18(9):2091-2100.e7. PubMed ID: 31843599
[TBL] [Abstract][Full Text] [Related]
36. T1 mapping combined with Gd-EOB-DTPA-enhanced magnetic resonance imaging in predicting the pathologic grading of hepatocellular carcinoma.
Chen CY; Chen J; Xia CC; Huang ZX; Song B
J Biol Regul Homeost Agents; 2017; 31(4):1029-1036. PubMed ID: 29254310
[TBL] [Abstract][Full Text] [Related]
37. Irreversible electroporation of hepatocellular carcinoma: preliminary report on the diagnostic accuracy of magnetic resonance, computer tomography, and contrast-enhanced ultrasound in evaluation of the ablated area.
Granata V; de Lutio di Castelguidone E; Fusco R; Catalano O; Piccirillo M; Palaia R; Izzo F; Gallipoli AD; Petrillo A
Radiol Med; 2016 Feb; 121(2):122-31. PubMed ID: 26345332
[TBL] [Abstract][Full Text] [Related]
38. Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading.
Li S; Jiang H; Pang W
Comput Biol Med; 2017 May; 84():156-167. PubMed ID: 28365546
[TBL] [Abstract][Full Text] [Related]
39. Distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma by computed tomography and magnetic resonance imaging using the Bayesian method: a bi-center study.
Ichikawa S; Isoda H; Shimizu T; Tamada D; Taura K; Togashi K; Onishi H; Motosugi U
Eur Radiol; 2020 Nov; 30(11):5992-6002. PubMed ID: 32500195
[TBL] [Abstract][Full Text] [Related]
40. Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification.
Liu F; Wee CY; Chen H; Shen D
Neuroimage; 2014 Jan; 84():466-75. PubMed ID: 24045077
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
