123 related articles for article (PubMed ID: 38281863)
1. Prediction of Disease-Free Survival in Breast Cancer using Deep Learning with Ultrasound and Mammography: A Multicenter Study.
Han J; Hua H; Fei J; Liu J; Guo Y; Ma W; Chen J
Clin Breast Cancer; 2024 Apr; 24(3):215-226. PubMed ID: 38281863
[TBL] [Abstract][Full Text] [Related]
2. Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
Yu FH; Miao SM; Li CY; Hang J; Deng J; Ye XH; Liu Y
Eur Radiol; 2023 Aug; 33(8):5634-5644. PubMed ID: 36976336
[TBL] [Abstract][Full Text] [Related]
3. Breast cancer detection using deep learning: Datasets, methods, and challenges ahead.
Din NMU; Dar RA; Rasool M; Assad A
Comput Biol Med; 2022 Oct; 149():106073. PubMed ID: 36103745
[TBL] [Abstract][Full Text] [Related]
4. A multivariable prognostic score to guide systemic therapy in early-stage HER2-positive breast cancer: a retrospective study with an external evaluation.
Prat A; Guarneri V; Paré L; Griguolo G; Pascual T; Dieci MV; Chic N; González-Farré B; Frassoldati A; Sanfeliu E; Cejalvo JM; Muñoz M; Bisagni G; Brasó-Maristany F; Urso L; Vidal M; Brandes AA; Adamo B; Musolino A; Miglietta F; Conte B; Oliveira M; Saura C; Pernas S; Alarcón J; Llombart-Cussac A; Cortés J; Manso L; López R; Ciruelos E; Schettini F; Villagrasa P; Carey LA; Perou CM; Piacentini F; D'Amico R; Tagliafico E; Parker JS; Conte P
Lancet Oncol; 2020 Nov; 21(11):1455-1464. PubMed ID: 33152285
[TBL] [Abstract][Full Text] [Related]
5. A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.
Liu H; Chen Y; Zhang Y; Wang L; Luo R; Wu H; Wu C; Zhang H; Tan W; Yin H; Wang D
Eur Radiol; 2021 Aug; 31(8):5902-5912. PubMed ID: 33496829
[TBL] [Abstract][Full Text] [Related]
6. A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Yala A; Lehman C; Schuster T; Portnoi T; Barzilay R
Radiology; 2019 Jul; 292(1):60-66. PubMed ID: 31063083
[TBL] [Abstract][Full Text] [Related]
7. Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method.
Qu YH; Zhu HT; Cao K; Li XT; Ye M; Sun YS
Thorac Cancer; 2020 Mar; 11(3):651-658. PubMed ID: 31944571
[TBL] [Abstract][Full Text] [Related]
8. Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours.
Dominique C; Callonnec F; Berghian A; Defta D; Vera P; Modzelewski R; Decazes P
Eur Radiol; 2022 Jul; 32(7):4834-4844. PubMed ID: 35094119
[TBL] [Abstract][Full Text] [Related]
9. Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study.
Li B; Li F; Liu Z; Xu F; Ye G; Li W; Zhang Y; Zhu T; Shao L; Chen C; Sun C; Qiu B; Bu H; Wang K; Tian J
Breast; 2022 Dec; 66():183-190. PubMed ID: 36308926
[TBL] [Abstract][Full Text] [Related]
10. Evaluating the Accuracy of Breast Cancer and Molecular Subtype Diagnosis by Ultrasound Image Deep Learning Model.
Zhang X; Li H; Wang C; Cheng W; Zhu Y; Li D; Jing H; Li S; Hou J; Li J; Li Y; Zhao Y; Mo H; Pang D
Front Oncol; 2021; 11():623506. PubMed ID: 33747937
[No Abstract] [Full Text] [Related]
11. Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.
Akselrod-Ballin A; Chorev M; Shoshan Y; Spiro A; Hazan A; Melamed R; Barkan E; Herzel E; Naor S; Karavani E; Koren G; Goldschmidt Y; Shalev V; Rosen-Zvi M; Guindy M
Radiology; 2019 Aug; 292(2):331-342. PubMed ID: 31210611
[TBL] [Abstract][Full Text] [Related]
12. Survival Rates of Breast Cancer Patients Aged 40 to 49 Years according to Detection Modality in Korea: Screening Ultrasound versus Mammography.
Won SY; Park HS; Kim EK; Kim SI; Moon HJ; Yoon JH; Park VY; Park S; Kim MJ; Cho YU; Park BW
Korean J Radiol; 2021 Feb; 22(2):159-167. PubMed ID: 32901456
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening.
Aboutalib SS; Mohamed AA; Berg WA; Zuley ML; Sumkin JH; Wu S
Clin Cancer Res; 2018 Dec; 24(23):5902-5909. PubMed ID: 30309858
[TBL] [Abstract][Full Text] [Related]
14. Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer.
Guo Y; Xie X; Tang W; Chen S; Wang M; Fan Y; Lin C; Hu W; Yang J; Xiang J; Jiang K; Wei X; Huang B; Jiang X
Eur Radiol; 2024 Feb; 34(2):899-913. PubMed ID: 37597033
[TBL] [Abstract][Full Text] [Related]
15. Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy.
Ma M; Gan L; Liu Y; Jiang Y; Xin L; Liu Y; Qin N; Cheng Y; Liu Q; Xu L; Zhang Y; Wang X; Zhang X; Ye J; Wang X
Eur J Radiol; 2022 Jan; 146():110095. PubMed ID: 34890936
[TBL] [Abstract][Full Text] [Related]
16. Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
Joo S; Ko ES; Kwon S; Jeon E; Jung H; Kim JY; Chung MJ; Im YH
Sci Rep; 2021 Sep; 11(1):18800. PubMed ID: 34552163
[TBL] [Abstract][Full Text] [Related]
17. Deep learning modeling using normal mammograms for predicting breast cancer risk.
Arefan D; Mohamed AA; Berg WA; Zuley ML; Sumkin JH; Wu S
Med Phys; 2020 Jan; 47(1):110-118. PubMed ID: 31667873
[TBL] [Abstract][Full Text] [Related]
18. Long-term Surveillance of Ductal Carcinoma in Situ Detected with Screening Mammography versus US: Factors Associated with Second Breast Cancer.
Choi SH; Choi JS; Han BK; Ko EY; Ko ES; Park KW
Radiology; 2019 Jul; 292(1):37-48. PubMed ID: 31038406
[TBL] [Abstract][Full Text] [Related]
19. Imaging and Clinicopathologic Features Associated With Pathologic Complete Response in HER2-positive Breast Cancer Receiving Neoadjuvant Chemotherapy With Dual HER2 Blockade.
Yoon GY; Chae EY; Cha JH; Shin HJ; Choi WJ; Kim HH; Kim JE; Kim SB
Clin Breast Cancer; 2020 Feb; 20(1):25-32. PubMed ID: 31519449
[TBL] [Abstract][Full Text] [Related]
20. The use of breast imaging for predicting response to neoadjuvant lapatinib, trastuzumab and their combination in HER2-positive breast cancer: Results from Neo-ALTTO.
Di Cosimo S; Campbell C; Azim HA; Galli G; Bregni G; Curigliano G; Criscitiello C; Izquierdo M; de la Pena L; Fumagalli D; Fein L; Vinholes J; Ng WMJ; Colleoni M; Ferro A; Naume BJ; Patel A; Huober J; Piccart-Gebhart MJ; Baselga J; de Azambuja E
Eur J Cancer; 2018 Jan; 89():42-48. PubMed ID: 29227816
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
