130 related articles for article (PubMed ID: 37957952)
21. CT-determined resectability of borderline resectable and unresectable pancreatic adenocarcinoma following FOLFIRINOX therapy.
Jang JK; Byun JH; Kang JH; Son JH; Kim JH; Lee SS; Kim HJ; Yoo C; Kim KP; Hong SM; Seo DW; Kim SC; Lee MG
Eur Radiol; 2021 Feb; 31(2):813-823. PubMed ID: 32845389
[TBL] [Abstract][Full Text] [Related]
22. Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules.
Shen Y; Xu F; Zhu W; Hu H; Chen T; Li Q
Ann Transl Med; 2020 Mar; 8(5):171. PubMed ID: 32309318
[TBL] [Abstract][Full Text] [Related]
23. The predictive value of a computed tomography-based radiomics model for the surgical separability of thymic epithelial tumors from the superior vena cava and the left innominate vein.
Li Z; Wang F; Zhang H; Zheng H; Zhou X; Wang Z; Xie S; Peng L; Wang X; Wang Y
Quant Imaging Med Surg; 2023 Sep; 13(9):5622-5640. PubMed ID: 37711814
[TBL] [Abstract][Full Text] [Related]
24. Differentiation of acute and chronic vertebral compression fractures using conventional CT based on deep transfer learning features and hand-crafted radiomics features.
Zhang J; Liu J; Liang Z; Xia L; Zhang W; Xing Y; Zhang X; Tang G
BMC Musculoskelet Disord; 2023 Mar; 24(1):165. PubMed ID: 36879285
[TBL] [Abstract][Full Text] [Related]
25. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
26. Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features.
Hu X; Gong J; Zhou W; Li H; Wang S; Wei M; Peng W; Gu Y
Phys Med Biol; 2021 Mar; 66(6):065015. PubMed ID: 33596552
[TBL] [Abstract][Full Text] [Related]
27. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
28. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
29. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.
Wan Q; Zhou J; Xia X; Hu J; Wang P; Peng Y; Zhang T; Sun J; Song Y; Yang G; Li X
Front Oncol; 2021; 11():683587. PubMed ID: 34868905
[TBL] [Abstract][Full Text] [Related]
30. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
Gong J; Wang T; Wang Z; Chu X; Hu T; Li M; Peng W; Feng F; Tong T; Gu Y
Cancer Imaging; 2024 Jan; 24(1):1. PubMed ID: 38167564
[TBL] [Abstract][Full Text] [Related]
31. Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients.
Nazari M; Shiri I; Zaidi H
Comput Biol Med; 2021 Feb; 129():104135. PubMed ID: 33254045
[TBL] [Abstract][Full Text] [Related]
32. [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]
33. Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning.
Liu C; Wang X; Liu C; Sun Q; Peng W
Biomed Eng Online; 2020 Aug; 19(1):66. PubMed ID: 32814568
[TBL] [Abstract][Full Text] [Related]
34. [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]
35. Radiomics Analysis of Computed Tomography for Prediction of Thyroid Capsule Invasion in Papillary Thyroid Carcinoma: A Multi-Classifier and Two-Center Study.
Wu X; Yu P; Jia C; Mao N; Che K; Li G; Zhang H; Mou Y; Song X
Front Endocrinol (Lausanne); 2022; 13():849065. PubMed ID: 35692398
[TBL] [Abstract][Full Text] [Related]
36. The Machine Learning Model for Distinguishing Pathological Subtypes of Non-Small Cell Lung Cancer.
Zhao H; Su Y; Wang M; Lyu Z; Xu P; Jiao Y; Zhang L; Han W; Tian L; Fu P
Front Oncol; 2022; 12():875761. PubMed ID: 35692759
[TBL] [Abstract][Full Text] [Related]
37. Prediction of Changes in Tumor Regression during Radiotherapy for Nasopharyngeal Carcinoma by Using the Computed Tomography-Based Radiomics.
Yang Y; Wu J; Mai W; Li H
Contrast Media Mol Imaging; 2022; 2022():3417480. PubMed ID: 36226269
[TBL] [Abstract][Full Text] [Related]
38. A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph node metastasis of oral squamous cell carcinoma.
Chen Z; Yu Y; Liu S; Du W; Hu L; Wang C; Li J; Liu J; Zhang W; Peng X
Clin Oral Investig; 2023 Dec; 28(1):39. PubMed ID: 38151672
[TBL] [Abstract][Full Text] [Related]
39. Prediction of postoperative liver metastasis in pancreatic ductal adenocarcinoma based on multiparametric magnetic resonance radiomics combined with serological markers: a cohort study of machine learning.
Yuan Z; Shu Z; Peng J; Wang W; Hou J; Han L; Zheng G; Wei Y; Zhong J
Abdom Radiol (NY); 2024 Jan; 49(1):117-130. PubMed ID: 37819438
[TBL] [Abstract][Full Text] [Related]
40. Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment.
Hao W; Gong J; Wang S; Zhu H; Zhao B; Peng W
Front Oncol; 2020; 10():531476. PubMed ID: 33194589
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
