171 related articles for article (PubMed ID: 36203226)
1. Noninvasive assessment of breast cancer molecular subtypes on multiparametric MRI using convolutional neural network with transfer learning.
Yin H; Bai L; Jia H; Lin G
Thorac Cancer; 2022 Nov; 13(22):3183-3191. PubMed ID: 36203226
[TBL] [Abstract][Full Text] [Related]
2. Combined diagnosis of multiparametric MRI-based deep learning models facilitates differentiating triple-negative breast cancer from fibroadenoma magnetic resonance BI-RADS 4 lesions.
Yin HL; Jiang Y; Xu Z; Jia HH; Lin GW
J Cancer Res Clin Oncol; 2023 Jun; 149(6):2575-2584. PubMed ID: 35771263
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Multiparametric MRI model to predict molecular subtypes of breast cancer using Shapley additive explanations interpretability analysis.
Huang Y; Wang X; Cao Y; Li M; Li L; Chen H; Tang S; Lan X; Jiang F; Zhang J
Diagn Interv Imaging; 2024 May; 105(5):191-205. PubMed ID: 38272773
[TBL] [Abstract][Full Text] [Related]
5. Multiparametric MRI Features of Breast Cancer Molecular Subtypes.
Szep M; Pintican R; Boca B; Perja A; Duma M; Feier D; Fetica B; Eniu D; Dudea SM; Chiorean A
Medicina (Kaunas); 2022 Nov; 58(12):. PubMed ID: 36556918
[TBL] [Abstract][Full Text] [Related]
6. Apparent Diffusion Coefficient-Based Convolutional Neural Network Model Can Be Better Than Sole Diffusion-Weighted Magnetic Resonance Imaging to Improve the Differentiation of Invasive Breast Cancer From Breast Ductal Carcinoma
Yin H; Jiang Y; Xu Z; Huang W; Chen T; Lin G
Front Oncol; 2021; 11():805911. PubMed ID: 35096609
[TBL] [Abstract][Full Text] [Related]
7. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI.
Wang Z; Sun H; Li J; Chen J; Meng F; Li H; Han L; Zhou S; Yu T
J Magn Reson Imaging; 2022 Sep; 56(3):700-709. PubMed ID: 35108415
[TBL] [Abstract][Full Text] [Related]
8. Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer.
Song SE; Cho KR; Cho Y; Kim K; Jung SP; Seo BK; Woo OH
Eur Radiol; 2022 Feb; 32(2):853-863. PubMed ID: 34383145
[TBL] [Abstract][Full Text] [Related]
9. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma.
Huang ZS; Xiao X; Li XD; Mo HZ; He WL; Deng YH; Lu LJ; Wu YK; Liu H
J Magn Reson Imaging; 2021 Nov; 54(5):1541-1550. PubMed ID: 34085336
[TBL] [Abstract][Full Text] [Related]
11. Prediction of breast cancer molecular subtypes using DCE-MRI based on CNNs combined with ensemble learning.
Sun R; Meng Z; Hou X; Chen Y; Yang Y; Huang G; Nie S
Phys Med Biol; 2021 Aug; 66(17):. PubMed ID: 34330117
[TBL] [Abstract][Full Text] [Related]
12. Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
Horvat JV; Bernard-Davila B; Helbich TH; Zhang M; Morris EA; Thakur SB; Ochoa-Albiztegui RE; Leithner D; Marino MA; Baltzer PA; Clauser P; Kapetas P; Bago-Horvath Z; Pinker K
J Magn Reson Imaging; 2019 Sep; 50(3):836-846. PubMed ID: 30811717
[TBL] [Abstract][Full Text] [Related]
13. Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers.
Zhang Y; Chen JH; Lin Y; Chan S; Zhou J; Chow D; Chang P; Kwong T; Yeh DC; Wang X; Parajuli R; Mehta RS; Wang M; Su MY
Eur Radiol; 2021 Apr; 31(4):2559-2567. PubMed ID: 33001309
[TBL] [Abstract][Full Text] [Related]
14. Preoperative Prediction of Ki-67 Status in Breast Cancer with Multiparametric MRI Using Transfer Learning.
Liu W; Cheng Y; Liu Z; Liu C; Cattell R; Xie X; Wang Y; Yang X; Ye W; Liang C; Li J; Gao Y; Huang C; Liang C
Acad Radiol; 2021 Feb; 28(2):e44-e53. PubMed ID: 32278690
[TBL] [Abstract][Full Text] [Related]
15. Efficient estimation of pharmacokinetic parameters from breast dynamic contrast-enhanced MRI based on a convolutional neural network for predicting molecular subtypes.
Zhang L; Fan M; Li L
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37983902
[No Abstract] [Full Text] [Related]
16. Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images.
Hoar D; Lee PQ; Guida A; Patterson S; Bowen CV; Merrimen J; Wang C; Rendon R; Beyea SD; Clarke SE
Comput Methods Programs Biomed; 2021 Oct; 210():106375. PubMed ID: 34500139
[TBL] [Abstract][Full Text] [Related]
17. Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes.
Leithner D; Bernard-Davila B; Martinez DF; Horvat JV; Jochelson MS; Marino MA; Avendano D; Ochoa-Albiztegui RE; Sutton EJ; Morris EA; Thakur SB; Pinker K
Mol Imaging Biol; 2020 Apr; 22(2):453-461. PubMed ID: 31209778
[TBL] [Abstract][Full Text] [Related]
18. Improved discrimination of molecular subtypes in invasive breast cancer: Comparison of multiple quantitative parameters from breast MRI.
Du S; Gao S; Zhang L; Yang X; Qi X; Li S
Magn Reson Imaging; 2021 Apr; 77():148-158. PubMed ID: 33309922
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning With 3D Convolutional Neural Network for Noninvasive Prediction of Microvascular Invasion in Hepatocellular Carcinoma.
Zhang Y; Lv X; Qiu J; Zhang B; Zhang L; Fang J; Li M; Chen L; Wang F; Liu S; Zhang S
J Magn Reson Imaging; 2021 Jul; 54(1):134-143. PubMed ID: 33559293
[TBL] [Abstract][Full Text] [Related]
20. Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model.
Zhang X; Liu M; Ren W; Sun J; Wang K; Xi X; Zhang G
Front Oncol; 2022; 12():1069733. PubMed ID: 36561533
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
