547 related articles for article (PubMed ID: 37214402)
21. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
[TBL] [Abstract][Full Text] [Related]
22. MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas.
Tsuchiya M; Masui T; Terauchi K; Yamada T; Katyayama M; Ichikawa S; Noda Y; Goshima S
Eur Radiol; 2022 Jun; 32(6):4090-4100. PubMed ID: 35044510
[TBL] [Abstract][Full Text] [Related]
23. Multiphasic CT-Based Radiomics Analysis for the Differentiation of Benign and Malignant Parotid Tumors.
Yu Q; Wang A; Gu J; Li Q; Ning Y; Peng J; Lv F; Zhang X
Front Oncol; 2022; 12():913898. PubMed ID: 35847942
[TBL] [Abstract][Full Text] [Related]
24. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
[TBL] [Abstract][Full Text] [Related]
25. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
[TBL] [Abstract][Full Text] [Related]
26. Value of the Application of CE-MRI Radiomics and Machine Learning in Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
Zhu Y; Yang L; Shen H
Front Oncol; 2021; 11():757111. PubMed ID: 34868967
[TBL] [Abstract][Full Text] [Related]
27. Radiomics and Hybrid Models Based on Machine Learning to Predict Levodopa-Induced Dyskinesia of Parkinson's Disease in the First 6 Years of Levodopa Treatment.
Luo Y; Chen H; Gui M
Diagnostics (Basel); 2023 Jul; 13(15):. PubMed ID: 37568874
[TBL] [Abstract][Full Text] [Related]
28. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
[No Abstract] [Full Text] [Related]
29. 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]
30. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
Lin K; Cidan W; Qi Y; Wang X
Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
[TBL] [Abstract][Full Text] [Related]
31. Combining machine learning with radiomics features in predicting outcomes after mechanical thrombectomy in patients with acute ischemic stroke.
Li Y; Liu Y; Hong Z; Wang Y; Lu X
Comput Methods Programs Biomed; 2022 Oct; 225():107093. PubMed ID: 36055039
[TBL] [Abstract][Full Text] [Related]
32. A radiomics method based on MR FS-T2WI sequence for diagnosing of autosomal dominant polycystic kidney disease progression.
Cong L; Hua QQ; Huang ZQ; Ma QL; Wang XM; Huang CC; Xu JX; Ma T
Eur Rev Med Pharmacol Sci; 2021 Sep; 25(18):5769-5780. PubMed ID: 34604968
[TBL] [Abstract][Full Text] [Related]
33. Feasibility of a clinical-radiomics combined model to predict the occurrence of stroke-associated pneumonia.
Luo H; Li J; Chen Y; Wu B; Liu J; Han M; Wu Y; Jia W; Yu P; Cheng R; Wang X; Ke J; Xian H; Tu J; Yi Y
BMC Neurol; 2024 Jan; 24(1):45. PubMed ID: 38273251
[TBL] [Abstract][Full Text] [Related]
34. [Radiomics-based prediction of microsatellite instability in stage Ⅱ and Ⅲ rectal cancer patients based on T2WI MRI and diffusion-weighted imaging].
Xiang S; Zheng LB; Zhu L; Gao Y; Wang DS; Liu SL; Zhang S; Wang TY; Lu Y
Zhonghua Wai Ke Za Zhi; 2023 Sep; 61(9):782-787. PubMed ID: 37491171
[No Abstract] [Full Text] [Related]
35. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
[TBL] [Abstract][Full Text] [Related]
36. Multiparametric MRI-based machine learning models for preoperatively predicting rectal adenoma with canceration.
Li P; Song G; Wu R; Li H; Zhang R; Zuo P; Li A
MAGMA; 2021 Oct; 34(5):707-716. PubMed ID: 33646452
[TBL] [Abstract][Full Text] [Related]
37. Differentiation between cerebral alveolar echinococcosis and brain metastases with radiomics combined machine learning approach.
Yimit Y; Yasin P; Tuersun A; Abulizi A; Jia W; Wang Y; Nijiati M
Eur J Med Res; 2023 Dec; 28(1):577. PubMed ID: 38071384
[TBL] [Abstract][Full Text] [Related]
38. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
[TBL] [Abstract][Full Text] [Related]
39. Prediction of the histologic upgrade of ductal carcinoma
Lee HJ; Park JH; Nguyen AT; Do LN; Park MH; Lee JS; Park I; Lim HS
Front Oncol; 2022; 12():1032809. PubMed ID: 36408141
[TBL] [Abstract][Full Text] [Related]
40. Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.
Zhang YF; Zhou C; Guo S; Wang C; Yang J; Yang ZJ; Wang R; Zhang X; Zhou FH
J Cancer Res Clin Oncol; 2024 Feb; 150(2):78. PubMed ID: 38316655
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]