207 related articles for article (PubMed ID: 37470826)
1. A machine learning model based on MRI for the preoperative prediction of bladder cancer invasion depth.
Chen G; Fan X; Wang T; Zhang E; Shao J; Chen S; Zhang D; Zhang J; Guo T; Yuan Z; Tang H; Yu Y; Chen J; Wang X
Eur Radiol; 2023 Dec; 33(12):8821-8832. PubMed ID: 37470826
[TBL] [Abstract][Full Text] [Related]
2. Systematic radiomics analysis based on multiparameter MRI to preoperatively predict the expression of Ki67 and histological grade in patients with bladder cancer.
Fan X; Yu H; Ni X; Chen G; Li T; Chen J; He M; Liu H; Wang H; Yin X
Br J Radiol; 2023 Apr; 96(1145):20221086. PubMed ID: 36883677
[TBL] [Abstract][Full Text] [Related]
3. Combining Multiparametric MRI Radiomics Signature With the Vesical Imaging-Reporting and Data System (VI-RADS) Score to Preoperatively Differentiate Muscle Invasion of Bladder Cancer.
Zheng Z; Xu F; Gu Z; Yan Y; Xu T; Liu S; Yao X
Front Oncol; 2021; 11():619893. PubMed ID: 34055600
[TBL] [Abstract][Full Text] [Related]
4. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
5. MRI-based automated machine learning model for preoperative identification of variant histology in muscle-invasive bladder carcinoma.
Huang J; Chen G; Liu H; Jiang W; Mai S; Zhang L; Zeng H; Wu S; Chen CY; Wu Z
Eur Radiol; 2024 Mar; 34(3):1804-1815. PubMed ID: 37658139
[TBL] [Abstract][Full Text] [Related]
6. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
7. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors.
Wang H; Hu D; Yao H; Chen M; Li S; Chen H; Luo J; Feng Y; Guo Y
Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445
[TBL] [Abstract][Full Text] [Related]
8. Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
Hectors SJ; Chen C; Chen J; Wang J; Gordon S; Yu M; Al Hussein Al Awamlh B; Sabuncu MR; Margolis DJA; Hu JC
J Magn Reson Imaging; 2021 Nov; 54(5):1466-1473. PubMed ID: 33970516
[TBL] [Abstract][Full Text] [Related]
9. Preoperative prediction of vessel invasion in locally advanced gastric cancer based on computed tomography radiomics and machine learning.
Hu ZW; Liang P; Li ZL; Yong LL; Lu H; Wang R; Gao JB
Oncol Lett; 2023 Jul; 26(1):293. PubMed ID: 37274479
[TBL] [Abstract][Full Text] [Related]
10. Multi-Sequence and Multi-Regional MRI-Based Radiomics Nomogram for the Preoperative Assessment of Muscle Invasion in Bladder Cancer.
Zhang L; Li X; Yang L; Tang Y; Guo J; Li D; Li S; Li Y; Wang L; Lei Y; Qiao H; Yang G; Wang X
J Magn Reson Imaging; 2023 Jul; 58(1):258-269. PubMed ID: 36300676
[TBL] [Abstract][Full Text] [Related]
11. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
[TBL] [Abstract][Full Text] [Related]
12. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
[TBL] [Abstract][Full Text] [Related]
13. Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer.
Zheng Z; Gu Z; Xu F; Maskey N; He Y; Yan Y; Xu T; Liu S; Yao X
Cancer Imaging; 2021 Dec; 21(1):65. PubMed ID: 34863282
[TBL] [Abstract][Full Text] [Related]
14. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
15. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
16. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
Tong P; Sun D; Chen G; Ni J; Li Y
BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
[TBL] [Abstract][Full Text] [Related]
17. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
[TBL] [Abstract][Full Text] [Related]
19. Application and Clinical Value of Machine Learning-Based Cervical Cancer Diagnosis and Prediction Model in Adjuvant Chemotherapy for Cervical Cancer: A Single-Center, Controlled, Non-Arbitrary Size Case-Control Study.
Wang Y; Shen L; Jin J; Wang G
Contrast Media Mol Imaging; 2022; 2022():2432291. PubMed ID: 35821886
[TBL] [Abstract][Full Text] [Related]
20. Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature.
Zhang L; Zhe X; Tang M; Zhang J; Ren J; Zhang X; Li L
Contrast Media Mol Imaging; 2021; 2021():7830909. PubMed ID: 35024015
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]