481 related articles for article (PubMed ID: 36879285)
1. 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]
2. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
Zhang J; Xia L; Tang J; Xia J; Liu Y; Zhang W; Liu J; Liang Z; Zhang X; Zhang L; Tang G
Acad Radiol; 2024 May; 31(5):2011-2026. PubMed ID: 38016821
[TBL] [Abstract][Full Text] [Related]
3. An MRI-Based Radiomics Nomogram for Differentiation of Benign and Malignant Vertebral Compression Fracture.
Feng Q; Xu S; Gong X; Wang T; He X; Liao D; Han F
Acad Radiol; 2024 Feb; 31(2):605-616. PubMed ID: 37586940
[TBL] [Abstract][Full Text] [Related]
4. Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.
Zhang J; Xia L; Liu J; Niu X; Tang J; Xia J; Liu Y; Zhang W; Liang Z; Zhang X; Tang G; Zhang L
Front Endocrinol (Lausanne); 2024; 15():1370838. PubMed ID: 38606087
[TBL] [Abstract][Full Text] [Related]
5. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
[TBL] [Abstract][Full Text] [Related]
6. Differential diagnosis of benign and malignant vertebral compression fractures: Comparison and correlation of radiomics and deep learning frameworks based on spinal CT and clinical characteristics.
Duan S; Hua Y; Cao G; Hu J; Cui W; Zhang D; Xu S; Rong T; Liu B
Eur J Radiol; 2023 Aug; 165():110899. PubMed ID: 37300935
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of a nomogram for predicting the probability of new vertebral compression fractures after vertebral augmentation of osteoporotic vertebral compression fractures.
Li Q; Long X; Wang Y; Fang X; Guo D; Lv J; Hu X; Cai L
BMC Musculoskelet Disord; 2021 Nov; 22(1):957. PubMed ID: 34784910
[TBL] [Abstract][Full Text] [Related]
8. Prediction of acute versus chronic osteoporotic vertebral fracture using radiomics-clinical model on CT.
Yang H; Yan S; Li J; Zheng X; Yao Q; Duan S; Zhu J; Li C; Qin J
Eur J Radiol; 2022 Apr; 149():110197. PubMed ID: 35149339
[TBL] [Abstract][Full Text] [Related]
9. Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT.
Chee CG; Yoon MA; Kim KW; Ko Y; Ham SJ; Cho YC; Park B; Chung HW
Eur Radiol; 2021 Sep; 31(9):6825-6834. PubMed ID: 33742227
[TBL] [Abstract][Full Text] [Related]
10. Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma.
Zhang XF; Wu HY; Liang XW; Chen JL; Li J; Zhang S; Liu Z
BMC Womens Health; 2024 Mar; 24(1):182. PubMed ID: 38504245
[TBL] [Abstract][Full Text] [Related]
11. Differentiation of usual vertebral compression fractures using CT histogram analysis as quantitative biomarkers: A proof-of-principle study.
Lv M; Zhou Z; Tang Q; Xu J; Huang Q; Lu L; Duan S; Zhu J; Li H
Eur J Radiol; 2020 Oct; 131():109264. PubMed ID: 32920220
[TBL] [Abstract][Full Text] [Related]
12. An MRI-Based Deep Transfer Learning Radiomics Nomogram to Predict Ki-67 Proliferation Index of Meningioma.
Duan C; Hao D; Cui J; Wang G; Xu W; Li N; Liu X
J Imaging Inform Med; 2024 Apr; 37(2):510-519. PubMed ID: 38343220
[TBL] [Abstract][Full Text] [Related]
13. Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features.
Bo L; Zhang Z; Jiang Z; Yang C; Huang P; Chen T; Wang Y; Yu G; Tan X; Cheng Q; Li D; Liu Z
Front Med (Lausanne); 2021; 8():748144. PubMed ID: 34869438
[No Abstract] [Full Text] [Related]
14. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma.
Shi S; Lin C; Zhou J; Wei L; Chen M; Zhang J; Cao K; Fan Y; Huang B; Luo Y; Feng ST
Int J Surg; 2024 May; 110(5):2669-2678. PubMed ID: 38445459
[TBL] [Abstract][Full Text] [Related]
16. A CT-based radiomics nomogram involving the cystic fluid area for differentiating appendiceal mucinous neoplasms from appendicitis with intraluminal fluid.
Wang X; Feng N; Qiu Y; Dong H; Lou C; Yang J; Yu J; Jiang C; Xu J; Yu R
J Cancer Res Clin Oncol; 2024 Mar; 150(3):143. PubMed ID: 38504073
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Deep Learning Radiomics Model to Predict High-Risk Pathologic Pulmonary Nodules Using Preoperative Computed Tomography.
Ye G; Wu G; Li K; Zhang C; Zhuang Y; Liu H; Song E; Qi Y; Li Y; Yang F; Liao Y
Acad Radiol; 2024 Apr; 31(4):1686-1697. PubMed ID: 37802672
[TBL] [Abstract][Full Text] [Related]
18. Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram.
Zhang R; Jia S; Zhai L; Wu F; Zhang S; Li F
BMC Med Imaging; 2024 Apr; 24(1):98. PubMed ID: 38678222
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer.
Wang J; Zeng J; Li H; Yu X
J Healthc Eng; 2022; 2022():4034404. PubMed ID: 35368956
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
