268 related articles for article (PubMed ID: 33738600)
1. Deep learning-based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC.
Kim DW; Lee G; Kim SY; Ahn G; Lee JG; Lee SS; Kim KW; Park SH; Lee YJ; Kim N
Eur Radiol; 2021 Sep; 31(9):7047-7057. PubMed ID: 33738600
[TBL] [Abstract][Full Text] [Related]
2. Automatic segmentation of hepatocellular carcinoma on dynamic contrast-enhanced MRI based on deep learning.
Luo X; Li P; Chen H; Zhou K; Piao S; Yang L; Hu B; Geng D
Phys Med Biol; 2024 Mar; 69(6):. PubMed ID: 38330492
[No Abstract] [Full Text] [Related]
3. Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.
Ouhmich F; Agnus V; Noblet V; Heitz F; Pessaux P
Int J Comput Assist Radiol Surg; 2019 Aug; 14(8):1275-1284. PubMed ID: 31041697
[TBL] [Abstract][Full Text] [Related]
4. Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography.
Cao SE; Zhang LQ; Kuang SC; Shi WQ; Hu B; Xie SD; Chen YN; Liu H; Chen SM; Jiang T; Ye M; Zhang HX; Wang J
World J Gastroenterol; 2020 Jul; 26(25):3660-3672. PubMed ID: 32742134
[TBL] [Abstract][Full Text] [Related]
5. Prospective evaluation of low-dose multiphase hepatic computed tomography for detecting and characterizing hepatocellular carcinoma in patients with chronic liver disease.
Choi ES; Kim JS; Lee JK; Lee HA; Pak S
BMC Med Imaging; 2022 Dec; 22(1):219. PubMed ID: 36536325
[TBL] [Abstract][Full Text] [Related]
6. A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images.
Lee IC; Tsai YP; Lin YC; Chen TC; Yen CH; Chiu NC; Hwang HE; Liu CA; Huang JG; Lee RC; Chao Y; Ho SY; Huang YH
Cancer Imaging; 2024 Mar; 24(1):43. PubMed ID: 38532511
[TBL] [Abstract][Full Text] [Related]
7. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
Hamm CA; Wang CJ; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Duncan JS; Weinreb JC; Chapiro J; Letzen B
Eur Radiol; 2019 Jul; 29(7):3338-3347. PubMed ID: 31016442
[TBL] [Abstract][Full Text] [Related]
8. Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol.
Shi W; Kuang S; Cao S; Hu B; Xie S; Chen S; Chen Y; Gao D; Chen Y; Zhu Y; Zhang H; Liu H; Ye M; Sirlin CB; Wang J
Abdom Radiol (NY); 2020 Sep; 45(9):2688-2697. PubMed ID: 32232524
[TBL] [Abstract][Full Text] [Related]
9. Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.
Lee H; Chang W; Kim HY; Sung P; Cho J; Lee YJ; Kim YH
Eur Radiol; 2024 Mar; 34(3):2036-2047. PubMed ID: 37656175
[TBL] [Abstract][Full Text] [Related]
10. Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.
Weston AD; Korfiatis P; Kline TL; Philbrick KA; Kostandy P; Sakinis T; Sugimoto M; Takahashi N; Erickson BJ
Radiology; 2019 Mar; 290(3):669-679. PubMed ID: 30526356
[TBL] [Abstract][Full Text] [Related]
11. Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.
Jin L; Yang J; Kuang K; Ni B; Gao Y; Sun Y; Gao P; Ma W; Tan M; Kang H; Chen J; Li M
EBioMedicine; 2020 Dec; 62():103106. PubMed ID: 33186809
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT.
Nayak A; Baidya Kayal E; Arya M; Culli J; Krishan S; Agarwal S; Mehndiratta A
Int J Comput Assist Radiol Surg; 2019 Aug; 14(8):1341-1352. PubMed ID: 31062266
[TBL] [Abstract][Full Text] [Related]
13. Feasibility of automatic detection of small hepatocellular carcinoma (≤2 cm) in cirrhotic liver based on pattern matching and deep learning.
Zheng R; Wang L; Wang C; Yu X; Chen W; Li Y; Li W; Yan F; Wang H; Li R
Phys Med Biol; 2021 Apr; 66(8):. PubMed ID: 33780910
[No Abstract] [Full Text] [Related]
14. Development of a deep learning-based auto-segmentation algorithm for hepatocellular carcinoma (HCC) and application to predict microvascular invasion of HCC using CT texture analysis: preliminary results.
Park S; Kim JH; Kim J; Joseph W; Lee D; Park SJ
Acta Radiol; 2023 Mar; 64(3):907-917. PubMed ID: 35570797
[TBL] [Abstract][Full Text] [Related]
15. Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images.
Liu H; Zhou Y; Gou S; Luo Z
Comput Biol Med; 2024 May; 174():108420. PubMed ID: 38613896
[TBL] [Abstract][Full Text] [Related]
16. Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography.
Weikert T; Noordtzij LA; Bremerich J; Stieltjes B; Parmar V; Cyriac J; Sommer G; Sauter AW
Korean J Radiol; 2020 Jul; 21(7):891-899. PubMed ID: 32524789
[TBL] [Abstract][Full Text] [Related]
17. Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets.
Yang CJ; Wang CK; Fang YD; Wang JY; Su FC; Tsai HM; Lin YJ; Tsai HW; Yeh LR
PLoS One; 2021; 16(8):e0255605. PubMed ID: 34375365
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.
Budak Ü; Guo Y; Tanyildizi E; Şengür A
Med Hypotheses; 2020 Jan; 134():109431. PubMed ID: 31669758
[TBL] [Abstract][Full Text] [Related]
20. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.
Wang CJ; Hamm CA; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Weinreb JC; Duncan JS; Chapiro J; Letzen B
Eur Radiol; 2019 Jul; 29(7):3348-3357. PubMed ID: 31093705
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]