140 related articles for article (PubMed ID: 37489287)
1. Deep learning-based multiomics integration model for predicting axillary lymph node metastasis in breast cancer.
Li X; Yang L; Jiao X
Future Oncol; 2023 Jun; 19(20):1429-1438. PubMed ID: 37489287
[No Abstract] [Full Text] [Related]
2. Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast Cancer.
Li X; Yang L; Jiao X
Acad Radiol; 2023 Jul; 30(7):1281-1287. PubMed ID: 36376154
[TBL] [Abstract][Full Text] [Related]
3. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning Mechanism for Predicting the Axillary Lymph Node Metastasis in Patients with Primary Breast Cancer.
Ashokkumar N; Meera S; Anandan P; Murthy MYB; Kalaivani KS; Alahmadi TA; Alharbi SA; Raghavan SS; Jayadhas SA
Biomed Res Int; 2022; 2022():8616535. PubMed ID: 35993045
[TBL] [Abstract][Full Text] [Related]
5. Prediction of Axillary Lymph Node Metastatic Load of Breast Cancer Based on Ultrasound Deep Learning Radiomics Nomogram.
Zhang H; Zhao T; Zhang S; Sun J; Zhang F; Li X; Ni X
Technol Cancer Res Treat; 2023; 22():15330338231166218. PubMed ID: 36987661
[No Abstract] [Full Text] [Related]
6. Editorial for "Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI".
Shaikh S
J Magn Reson Imaging; 2023 Jun; 57(6):1854-1855. PubMed ID: 36208098
[No Abstract] [Full Text] [Related]
7. Development and Validation of a Nomogram for Predicting Axillary Lymph Node Metastasis in Breast Cancer.
Li X; Yang L; Jiao X
Clin Breast Cancer; 2023 Jul; 23(5):538-545. PubMed ID: 37137800
[TBL] [Abstract][Full Text] [Related]
8. Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.
Ozaki J; Fujioka T; Yamaga E; Hayashi A; Kujiraoka Y; Imokawa T; Takahashi K; Okawa S; Yashima Y; Mori M; Kubota K; Oda G; Nakagawa T; Tateishi U
Jpn J Radiol; 2022 Aug; 40(8):814-822. PubMed ID: 35284996
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer.
Chen Y; Wang L; Dong X; Luo R; Ge Y; Liu H; Zhang Y; Wang D
J Digit Imaging; 2023 Aug; 36(4):1323-1331. PubMed ID: 36973631
[TBL] [Abstract][Full Text] [Related]
10. Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer.
Guo X; Liu Z; Sun C; Zhang L; Wang Y; Li Z; Shi J; Wu T; Cui H; Zhang J; Tian J; Tian J
EBioMedicine; 2020 Oct; 60():103018. PubMed ID: 32980697
[TBL] [Abstract][Full Text] [Related]
11. Radiomics model based on features of axillary lymphatic nodes to predict axillary lymphatic node metastasis in breast cancer.
Tang Y; Che X; Wang W; Su S; Nie Y; Yang C
Med Phys; 2022 Dec; 49(12):7555-7566. PubMed ID: 35869750
[TBL] [Abstract][Full Text] [Related]
12. Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
Tong L; Mitchel J; Chatlin K; Wang MD
BMC Med Inform Decis Mak; 2020 Sep; 20(1):225. PubMed ID: 32933515
[TBL] [Abstract][Full Text] [Related]
13. [Multi-omics prediction of lymph node metastasis status in breast cancer].
Jin Y; Wang W; Li JB
Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):391-398. PubMed ID: 38742352
[TBL] [Abstract][Full Text] [Related]
14. Convolutional Neural Network of Multiparametric MRI Accurately Detects Axillary Lymph Node Metastasis in Breast Cancer Patients With Pre Neoadjuvant Chemotherapy.
Ren T; Lin S; Huang P; Duong TQ
Clin Breast Cancer; 2022 Feb; 22(2):170-177. PubMed ID: 34384696
[TBL] [Abstract][Full Text] [Related]
15. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.
Zheng X; Yao Z; Huang Y; Yu Y; Wang Y; Liu Y; Mao R; Li F; Xiao Y; Wang Y; Hu Y; Yu J; Zhou J
Nat Commun; 2020 Mar; 11(1):1236. PubMed ID: 32144248
[TBL] [Abstract][Full Text] [Related]
16. Increased copy number of the DLX4 homeobox gene in breast axillary lymph node metastasis.
Torresan C; Oliveira MM; Pereira SR; Ribeiro EM; Marian C; Gusev Y; Lima RS; Urban CA; Berg PE; Haddad BR; Cavalli IJ; Cavalli LR
Cancer Genet; 2014 May; 207(5):177-87. PubMed ID: 24947980
[TBL] [Abstract][Full Text] [Related]
17. Integrative 3' Untranslated Region-Based Model to Identify Patients with Low Risk of Axillary Lymph Node Metastasis in Operable Triple-Negative Breast Cancer.
Wang L; Hu X; Wang P; Shao ZM
Oncologist; 2019 Jan; 24(1):22-30. PubMed ID: 30082491
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning Signature Based on Staging CT for Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
Yang X; Wu L; Ye W; Zhao K; Wang Y; Liu W; Li J; Li H; Liu Z; Liang C
Acad Radiol; 2020 Sep; 27(9):1226-1233. PubMed ID: 31818648
[TBL] [Abstract][Full Text] [Related]
19. Correlation between the contrast-enhanced ultrasound image features and axillary lymph node metastasis of primary breast cancer and its diagnostic value.
Xu H; Xu GL; Li XD; Su QH; Dong CZ
Clin Transl Oncol; 2021 Jan; 23(1):155-163. PubMed ID: 32488804
[TBL] [Abstract][Full Text] [Related]
20. The effect of the tumor-to-skin distance on axillary lymph node metastasis in breast cancer.
Yur M; Aygen E; İlhan YS; Lale A; Ebiloğlu MF
Rev Assoc Med Bras (1992); 2023; 69(4):e20221277. PubMed ID: 37098931
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
