154 related articles for article (PubMed ID: 36765921)
21. Multi-modality radiomics nomogram based on DCE-MRI and ultrasound images for benign and malignant breast lesion classification.
Liu X; Zhang J; Zhou J; He Y; Xu Y; Zhang Z; Cao G; Miao H; Chen Z; Zhao Y; Jin X; Wang M
Front Oncol; 2022; 12():992509. PubMed ID: 36531052
[TBL] [Abstract][Full Text] [Related]
22. Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma.
Wu J; Fang Q; Yao J; Ge L; Hu L; Wang Z; Jin G
Front Oncol; 2022; 12():979358. PubMed ID: 36276108
[TBL] [Abstract][Full Text] [Related]
23. Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.
Kim S-; Choi Y; Kim E-; Han BK; Yoon JH; Choi JS; Chang JM
Sci Rep; 2021 Jan; 11(1):395. PubMed ID: 33432076
[TBL] [Abstract][Full Text] [Related]
24. A CT-Based Radiomics Nomogram to Predict Complete Ablation of Pulmonary Malignancy: A Multicenter Study.
Zhang G; Yang H; Zhu X; Luo J; Zheng J; Xu Y; Zheng Y; Wei Y; Mei Z; Shao G
Front Oncol; 2022; 12():841678. PubMed ID: 35223526
[TBL] [Abstract][Full Text] [Related]
25. A radiomic nomogram based on an apparent diffusion coefficient map for differential diagnosis of suspicious breast findings.
Hu B; Xu K; Zhang Z; Chai R; Li S; Zhang L
Chin J Cancer Res; 2018 Aug; 30(4):432-438. PubMed ID: 30210223
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions.
Wu X; Li J; Mou Y; Yao Y; Cui J; Mao N; Song X
Front Oncol; 2021; 11():580886. PubMed ID: 34164333
[TBL] [Abstract][Full Text] [Related]
28. Multimodal Ultrasound Imaging in Breast Imaging-Reporting and Data System 4 Breast Lesions: A Prediction Model for Malignancy.
Li XL; Lu F; Zhu AQ; Du D; Zhang YF; Guo LH; Sun LP; Xu HX
Ultrasound Med Biol; 2020 Dec; 46(12):3188-3199. PubMed ID: 32896449
[TBL] [Abstract][Full Text] [Related]
29. Application of computer-aided diagnosis to predict malignancy in BI-RADS 3 breast lesions.
He P; Chen W; Bai MY; Li J; Wang QQ; Fan LH; Zheng J; Liu CT; Zhang XR; Yuan XR; Song PJ; Cui LG
Heliyon; 2024 Jan; 10(2):e24560. PubMed ID: 38304808
[TBL] [Abstract][Full Text] [Related]
30. Evaluation of diagnostic efficacy of multimode ultrasound in BI-RADS 4 breast neoplasms and establishment of a predictive model.
Chen Y; Lu J; Li J; Liao J; Huang X; Zhang B
Front Oncol; 2022; 12():1053280. PubMed ID: 36505867
[TBL] [Abstract][Full Text] [Related]
31. Risk-predicted dual nomograms consisting of clinical and ultrasound factors for downgrading BI-RADS category 4a breast lesions - A multiple centre study.
Niu Z; Tian JW; Ran HT; Ren WD; Chang C; Yuan JJ; Kang CS; Deng YB; Wang H; Luo BM; Guo SL; Zhou Q; Xue ES; Zhan WW; Zhou Q; Li J; Zhou P; Zhang CQ; Chen M; Gu Y; Xu JF; Chen W; Zhang YH; Wang HQ; Li JC; Wang HY; Jiang YX
J Cancer; 2021; 12(1):292-304. PubMed ID: 33391426
[No Abstract] [Full Text] [Related]
32. Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors.
Wang C; Chen X; Luo H; Liu Y; Meng R; Wang M; Liu S; Xu G; Ren J; Zhou P
Front Oncol; 2021; 11():754843. PubMed ID: 34820327
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Development and Validation of an Ultrasound-Based Radiomics Nomogram for Identifying HER2 Status in Patients with Breast Carcinoma.
Guo Y; Wu J; Wang Y; Jin Y
Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553137
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
Li C; Yin J
Front Oncol; 2021; 11():671354. PubMed ID: 34041033
[TBL] [Abstract][Full Text] [Related]
37. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
[TBL] [Abstract][Full Text] [Related]
38. Ultrasound Radiomics Nomogram Integrating Three-Dimensional Features Based on Carotid Plaques to Evaluate Coronary Artery Disease.
Wang X; Luo P; Du H; Li S; Wang Y; Guo X; Wan L; Zhao B; Ren J
Diagnostics (Basel); 2022 Jan; 12(2):. PubMed ID: 35204347
[TBL] [Abstract][Full Text] [Related]
39. Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography.
Xie Q; Chen Y; Hu Y; Zeng F; Wang P; Xu L; Wu J; Li J; Zhu J; Xiang M; Zeng F
BMC Med Imaging; 2022 Aug; 22(1):140. PubMed ID: 35941568
[TBL] [Abstract][Full Text] [Related]
40. Preoperative ultrasound-based radiomics score can improve the accuracy of the Memorial Sloan Kettering Cancer Center nomogram for predicting sentinel lymph node metastasis in breast cancer.
Zha HL; Zong M; Liu XP; Pan JZ; Wang H; Gong HY; Xia TS; Liu XA; Li CY
Eur J Radiol; 2021 Feb; 135():109512. PubMed ID: 33429302
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
