121 related articles for article (PubMed ID: 37531697)
1. Diagnostic value of the dual-modal imaging radiomics model for subpleural pulmonary lesions.
Tang W; Zhang Y; Yu XL; Zhang WZ; Chen PJ; Wang Y; Zhang X; Yang GY
Eur J Radiol; 2023 Sep; 166():111000. PubMed ID: 37531697
[TBL] [Abstract][Full Text] [Related]
2. Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames.
Chen JH; Zhang YQ; Zhu TT; Zhang Q; Zhao AX; Huang Y
Front Endocrinol (Lausanne); 2024; 15():1299686. PubMed ID: 38633756
[TBL] [Abstract][Full Text] [Related]
3. Radiomics Based on Contrast-Enhanced Ultrasound Images for Diagnosis of Pancreatic Serous Cystadenoma.
Zhang Y; Yao J; Liu F; Cheng Z; Qi E; Han Z; Yu J; Dou J; Liang P; Tan S; Dong X; Li X; Sun Y; Wang S; Wang Z; Yu X
Ultrasound Med Biol; 2023 Dec; 49(12):2469-2475. PubMed ID: 37749013
[TBL] [Abstract][Full Text] [Related]
4. Machine learning based on radiomics features combing B-mode transrectal ultrasound and contrast-enhanced ultrasound to improve peripheral zone prostate cancer detection.
Sun Y; Fang J; Shi Y; Li H; Wang J; Xu J; Zhang B; Liang L
Abdom Radiol (NY); 2024 Jan; 49(1):141-150. PubMed ID: 37796326
[TBL] [Abstract][Full Text] [Related]
5. Ultrasound contrast-enhanced radiomics model for preoperative prediction of the tumor grade of clear cell renal cell carcinoma: an exploratory study.
Luo Y; Liu X; Jia Y; Zhao Q
BMC Med Imaging; 2024 Jun; 24(1):135. PubMed ID: 38844837
[TBL] [Abstract][Full Text] [Related]
6. Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules.
Guo SY; Zhou P; Zhang Y; Jiang LQ; Zhao YF
Front Oncol; 2021; 11():738909. PubMed ID: 34722288
[TBL] [Abstract][Full Text] [Related]
7. Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma Using a Clinical-Radiomics Nomogram Based on B-Mode and Contrast-Enhanced Ultrasound.
Jiang L; Guo S; Zhao Y; Cheng Z; Zhong X; Zhou P
Diagnostics (Basel); 2023 May; 13(10):. PubMed ID: 37238217
[TBL] [Abstract][Full Text] [Related]
8. Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm.
Zheng R; Zhang X; Liu B; Zhang Y; Shen H; Xie X; Li S; Huang G
Eur Radiol; 2023 Sep; 33(9):6462-6472. PubMed ID: 37338553
[TBL] [Abstract][Full Text] [Related]
9. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic value of radiomics model based on gray-scale and contrast-enhanced ultrasound for inflammatory mass stage periductal mastitis/duct ectasia.
Zheng Y; Bai L; Sun J; Zhu L; Huang R; Duan S; Dong F; Tang Z; Li Y
Front Oncol; 2022; 12():981106. PubMed ID: 36203455
[TBL] [Abstract][Full Text] [Related]
11. Preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma based on kupffer phase radiomics features of sonazoid contrast-enhanced ultrasound (SCEUS): A prospective study.
Dong Y; Zuo D; Qiu YJ; Cao JY; Wang HZ; Yu LY; Wang WP
Clin Hemorheol Microcirc; 2022; 81(1):97-107. PubMed ID: 35001883
[TBL] [Abstract][Full Text] [Related]
12. Value of the application of computed tomography-based radiomics for preoperative prediction of unfavorable pathology in initial bladder cancer.
Xiong S; Dong W; Deng Z; Jiang M; Li S; Hu B; Liu X; Chen L; Xu S; Fan B; Fu B
Cancer Med; 2023 Aug; 12(15):15868-15880. PubMed ID: 37434436
[TBL] [Abstract][Full Text] [Related]
13. Radiomics based on enhanced CT for differentiating between pulmonary tuberculosis and pulmonary adenocarcinoma presenting as solid nodules or masses.
Zhao W; Xiong Z; Jiang Y; Wang K; Zhao M; Lu X; Liu A; Qin D; Li Z
J Cancer Res Clin Oncol; 2023 Jul; 149(7):3395-3408. PubMed ID: 35939114
[TBL] [Abstract][Full Text] [Related]
14. Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography.
Xie Q; Chen Y; Hu Y; Zeng F; Wang P; Xu L; Wu J; Li J; Zhu J; Xiang M; Zeng F
BMC Med Imaging; 2022 Aug; 22(1):140. PubMed ID: 35941568
[TBL] [Abstract][Full Text] [Related]
15. Deep learning radiomics for focal liver lesions diagnosis on long-range contrast-enhanced ultrasound and clinical factors.
Liu L; Tang C; Li L; Chen P; Tan Y; Hu X; Chen K; Shang Y; Liu D; Liu H; Liu H; Nie F; Tian J; Zhao M; He W; Guo Y
Quant Imaging Med Surg; 2022 Jun; 12(6):3213-3226. PubMed ID: 35655832
[TBL] [Abstract][Full Text] [Related]
16. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
[TBL] [Abstract][Full Text] [Related]
17. An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer.
Wu YQ; Gao RZ; Lin P; Wen R; Li HY; Mou MY; Chen FH; Huang F; Zhou WJ; Yang H; He Y; Wu J
BMC Med Imaging; 2022 May; 22(1):84. PubMed ID: 35538520
[TBL] [Abstract][Full Text] [Related]
18. Preoperative Assessment of MRI-Invisible Early-Stage Endometrial Cancer With MRI-Based Radiomics Analysis.
Jiang X; Song J; Zhang A; Cheng W; Duan S; Liu X; Chen T
J Magn Reson Imaging; 2023 Jul; 58(1):247-255. PubMed ID: 36259352
[TBL] [Abstract][Full Text] [Related]
19. Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound.
Liu D; Liu F; Xie X; Su L; Liu M; Xie X; Kuang M; Huang G; Wang Y; Zhou H; Wang K; Lin M; Tian J
Eur Radiol; 2020 Apr; 30(4):2365-2376. PubMed ID: 31900703
[TBL] [Abstract][Full Text] [Related]
20. Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4-5 thyroid nodules.
Ren JY; Lv WZ; Wang L; Zhang W; Ma YY; Huang YZ; Peng YX; Lin JJ; Cui XW
Cancer Imaging; 2024 Jan; 24(1):17. PubMed ID: 38263209
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
