166 related articles for article (PubMed ID: 38424279)
1. Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn's Disease and Intestinal Tuberculosis.
Cheng M; Zhang H; Huang W; Li F; Gao J
J Imaging Inform Med; 2024 Feb; ():. PubMed ID: 38424279
[TBL] [Abstract][Full Text] [Related]
2. A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn's disease.
Lu B; Huang Z; Lin J; Zhang R; Shen X; Huang L; Wang X; He W; Huang Q; Fang J; Mao R; Li Z; Huang B; Feng ST; Ye Z; Zhang J; Wang Y
Abdom Radiol (NY); 2024 May; ():. PubMed ID: 38703189
[TBL] [Abstract][Full Text] [Related]
3. A Novel Clinical Radiomics Nomogram to Identify Crohn's Disease from Intestinal Tuberculosis.
Zhu C; Yu Y; Wang S; Wang X; Gao Y; Li C; Li J; Ge Y; Wu X
J Inflamm Res; 2021; 14():6511-6521. PubMed ID: 34887674
[TBL] [Abstract][Full Text] [Related]
4. Applying logistic LASSO regression for the diagnosis of atypical Crohn's disease.
Li Y; Lu F; Yin Y
Sci Rep; 2022 Jul; 12(1):11340. PubMed ID: 35790774
[TBL] [Abstract][Full Text] [Related]
5. Computed tomography enterography-based multiregional radiomics model for differential diagnosis of Crohn's disease from intestinal tuberculosis.
Gong T; Li M; Pu H; Yin LL; Peng SK; Zhou Z; Zhou M; Li H
Abdom Radiol (NY); 2023 Jun; 48(6):1900-1910. PubMed ID: 37004555
[TBL] [Abstract][Full Text] [Related]
6. CT-based radiomics signature of visceral adipose tissue for prediction of disease progression in patients with Crohn's disease: A multicentre cohort study.
Li X; Zhang N; Hu C; Lin Y; Li J; Li Z; Cui E; Shi L; Zhuang X; Li J; Lu J; Wang Y; Liu R; Yuan C; Lin H; He J; Ke D; Tang S; Zou Y; He B; Sun C; Chen M; Huang B; Mao R; Feng ST
EClinicalMedicine; 2023 Feb; 56():101805. PubMed ID: 36618894
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer.
Wei Z; Liu H; Xv Y; Liao F; He Q; Xie Y; Lv F; Jiang Q; Xiao M
Heliyon; 2024 Jan; 10(2):e24878. PubMed ID: 38304824
[TBL] [Abstract][Full Text] [Related]
9. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
[TBL] [Abstract][Full Text] [Related]
10. Volumetric visceral fat machine learning phenotype on CT for differential diagnosis of inflammatory bowel disease.
Zhou Z; Xiong Z; Cheng R; Luo Q; Li Y; Xie Q; Xiao P; Hu D; Hu X; Shen Y; Li Z
Eur Radiol; 2023 Mar; 33(3):1862-1872. PubMed ID: 36255487
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Application of computed tomography-based radiomics in differential diagnosis of adenocarcinoma and squamous cell carcinoma at the esophagogastric junction.
Du KP; Huang WP; Liu SY; Chen YJ; Li LM; Liu XN; Han YJ; Zhou Y; Liu CC; Gao JB
World J Gastroenterol; 2022 Aug; 28(31):4363-4375. PubMed ID: 36159013
[TBL] [Abstract][Full Text] [Related]
13. A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.
Yang L; Xu P; Zhang Y; Cui N; Wang M; Peng M; Gao C; Wang T
Neuroradiology; 2022 Jul; 64(7):1373-1382. PubMed ID: 35037985
[TBL] [Abstract][Full Text] [Related]
14. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
15. Development of CT-Based Imaging Signature for Preoperative Prediction of Invasive Behavior in Pancreatic Solid Pseudopapillary Neoplasm.
Huang WP; Liu SY; Han YJ; Li LM; Liang P; Gao JB
Front Oncol; 2021; 11():677814. PubMed ID: 34079766
[TBL] [Abstract][Full Text] [Related]
16. Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists.
Meng J; Luo Z; Chen Z; Zhou J; Chen Z; Lu B; Zhang M; Wang Y; Yuan C; Shen X; Huang Q; Zhang Z; Ye Z; Cao Q; Zhou Z; Xu Y; Mao R; Chen M; Sun C; Li Z; Feng ST; Meng X; Huang B; Li X
Eur Radiol; 2022 Dec; 32(12):8692-8705. PubMed ID: 35616733
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. CTE-Based Radiomics Models Can Identify Mucosal Healing in Patients with Crohn's Disease.
Rong C; Zhu C; He L; Hu J; Gao Y; Li C; Qian B; Li J; Wu X
Acad Radiol; 2023 Sep; 30 Suppl 1():S199-S206. PubMed ID: 37210265
[TBL] [Abstract][Full Text] [Related]
19. Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.
Liu X; Li F; Xu J; Ma J; Duan X; Mao R; Chen M; Chen Z; Huang Y; Jiang J; Huang B; Ye Z
Virchows Arch; 2024 Jun; 484(6):965-976. PubMed ID: 38332051
[TBL] [Abstract][Full Text] [Related]
20. [Deep transfer learning radiomics model based on temporal bone CT for assisting in the diagnosis of inner ear malformations].
Zhao X; Li X; Gao K; Shao H; Yuan Y; Dai P
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2024 Jun; 38(6):547-552. PubMed ID: 38858123
[No Abstract] [Full Text] [Related]
[Next] [New Search]
