173 related articles for article (PubMed ID: 38428255)
1. Validation of artificial intelligence contrast mammography in diagnosis of breast cancer: Relationship to histopathological results.
Helal M; Khaled R; Alfarghaly O; Mokhtar O; Elkorany A; Fahmy A; El Kassas H
Eur J Radiol; 2024 Apr; 173():111392. PubMed ID: 38428255
[TBL] [Abstract][Full Text] [Related]
2. Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network.
Qian N; Jiang W; Guo Y; Zhu J; Qiu J; Yu H; Huang X
Eur Radiol; 2024 Feb; 34(2):917-927. PubMed ID: 37610440
[TBL] [Abstract][Full Text] [Related]
3. External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence.
Hsu W; Hippe DS; Nakhaei N; Wang PC; Zhu B; Siu N; Ahsen ME; Lotter W; Sorensen AG; Naeim A; Buist DSM; Schaffter T; Guinney J; Elmore JG; Lee CI
JAMA Netw Open; 2022 Nov; 5(11):e2242343. PubMed ID: 36409497
[TBL] [Abstract][Full Text] [Related]
4. Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection.
Kwon MR; Chang Y; Ham SY; Cho Y; Kim EY; Kang J; Park EK; Kim KH; Kim M; Kim TS; Lee H; Kwon R; Lim GY; Choi HR; Choi J; Kook SH; Ryu S
Breast Cancer Res; 2024 Apr; 26(1):68. PubMed ID: 38649889
[TBL] [Abstract][Full Text] [Related]
5. Dynamic contrast-enhanced mammography and breast MRI in the diagnosis of breast cancer and detection of tumor size.
Tekinhatun M; Sabir N; Erdem E; Yilmaz S; Ufuk F
Turk J Med Sci; 2024; 54(1):249-261. PubMed ID: 38812642
[TBL] [Abstract][Full Text] [Related]
6. Categorized contrast enhanced mammography dataset for diagnostic and artificial intelligence research.
Khaled R; Helal M; Alfarghaly O; Mokhtar O; Elkorany A; El Kassas H; Fahmy A
Sci Data; 2022 Mar; 9(1):122. PubMed ID: 35354835
[TBL] [Abstract][Full Text] [Related]
7. Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study.
Mao N; Zhang H; Dai Y; Li Q; Lin F; Gao J; Zheng T; Zhao F; Xie H; Xu C; Ma H
Br J Cancer; 2023 Mar; 128(5):793-804. PubMed ID: 36522478
[TBL] [Abstract][Full Text] [Related]
8. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.
Patel BK; Ranjbar S; Wu T; Pockaj BA; Li J; Zhang N; Lobbes M; Zhang B; Mitchell JR
Eur J Radiol; 2018 Jan; 98():207-213. PubMed ID: 29279165
[TBL] [Abstract][Full Text] [Related]
9. Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms.
Beuque MPL; Lobbes MBI; van Wijk Y; Widaatalla Y; Primakov S; Majer M; Balleyguier C; Woodruff HC; Lambin P
Radiology; 2023 Jun; 307(5):e221843. PubMed ID: 37338353
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic performance of contrast-enhanced dual-energy spectral mammography (CESM): a retrospective study involving 644 breast lesions.
Travieso-Aja MDM; Maldonado-Saluzzi D; Naranjo-Santana P; Fernández-Ruiz C; Severino-Rondón W; Rodríguez Rodríguez M; Vega Benítez V; Pérez-Luzardo O
Radiol Med; 2019 Oct; 124(10):1006-1017. PubMed ID: 31250270
[TBL] [Abstract][Full Text] [Related]
11. Multiview multimodal network for breast cancer diagnosis in contrast-enhanced spectral mammography images.
Song J; Zheng Y; Zakir Ullah M; Wang J; Jiang Y; Xu C; Zou Z; Ding G
Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):979-988. PubMed ID: 33966155
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter study.
Zhang H; Lin F; Zheng T; Gao J; Wang Z; Zhang K; Zhang X; Xu C; Zhao F; Xie H; Li Q; Cao K; Gu Y; Mao N
Int J Surg; 2024 May; 110(5):2593-2603. PubMed ID: 38748500
[TBL] [Abstract][Full Text] [Related]
13. Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.
Romero-Martín S; Elías-Cabot E; Raya-Povedano JL; Gubern-Mérida A; Rodríguez-Ruiz A; Álvarez-Benito M
Radiology; 2022 Mar; 302(3):535-542. PubMed ID: 34904872
[TBL] [Abstract][Full Text] [Related]
14. Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence-Based Computer-Aided Detection.
Yoon JH; Kim EK; Kim GR; Han K; Moon HJ
AJR Am J Roentgenol; 2022 Jan; 218(1):42-51. PubMed ID: 34378399
[No Abstract] [Full Text] [Related]
15. Low-Dose, Contrast-Enhanced Mammography Compared to Contrast-Enhanced Breast MRI: A Feasibility Study.
Clauser P; Baltzer PAT; Kapetas P; Hoernig M; Weber M; Leone F; Bernathova M; Helbich TH
J Magn Reson Imaging; 2020 Aug; 52(2):589-595. PubMed ID: 32061002
[TBL] [Abstract][Full Text] [Related]
16. Contrast-Enhanced Spectral Mammography Versus Ultrasonography: Diagnostic Performance in Symptomatic Patients with Dense Breasts.
Lu Z; Hao C; Pan Y; Mao N; Wang X; Yin X
Korean J Radiol; 2020 Apr; 21(4):442-449. PubMed ID: 32193892
[TBL] [Abstract][Full Text] [Related]
17. Added value of contrast-enhanced mammography (CEM) in staging of malignant breast lesions-a feasibility study.
Åhsberg K; Gardfjell A; Nimeus E; Rasmussen R; Behmer C; Zackrisson S; Ryden L
World J Surg Oncol; 2020 May; 18(1):100. PubMed ID: 32438917
[TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.
Lång K; Josefsson V; Larsson AM; Larsson S; Högberg C; Sartor H; Hofvind S; Andersson I; Rosso A
Lancet Oncol; 2023 Aug; 24(8):936-944. PubMed ID: 37541274
[TBL] [Abstract][Full Text] [Related]
19. Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
Kim H; Choi JS; Kim K; Ko ES; Ko EY; Han BK
Eur Radiol; 2023 Oct; 33(10):7186-7198. PubMed ID: 37188881
[TBL] [Abstract][Full Text] [Related]
20. Enhancement Type at Contrast-enhanced Mammography and Association with Malignancy.
Kim G; Mehta TS; Brook A; Du LH; Legare K; Phillips J
Radiology; 2022 Nov; 305(2):299-306. PubMed ID: 35819328
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
