203 related articles for article (PubMed ID: 33119515)
1. Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images.
Xing J; Chen C; Lu Q; Cai X; Yu A; Xu Y; Xia X; Sun Y; Xiao J; Huang L
IEEE J Biomed Health Inform; 2021 Jun; 25(6):2058-2070. PubMed ID: 33119515
[TBL] [Abstract][Full Text] [Related]
2. Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
Ciritsis A; Rossi C; Eberhard M; Marcon M; Becker AS; Boss A
Eur Radiol; 2019 Oct; 29(10):5458-5468. PubMed ID: 30927100
[TBL] [Abstract][Full Text] [Related]
3. Classification of multi-feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks.
Xu P; Zhao J; Wan M; Song Q; Su Q; Wang D
Med Phys; 2024 Jun; 51(6):4243-4257. PubMed ID: 38436433
[TBL] [Abstract][Full Text] [Related]
4. The uncertainty of boundary can improve the classification accuracy of BI-RADS 4A ultrasound image.
Wang H; Hu Y; Lu Y; Zhou J; Guo Y
Med Phys; 2022 May; 49(5):3314-3324. PubMed ID: 35261034
[TBL] [Abstract][Full Text] [Related]
5. Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.
Hejduk P; Marcon M; Unkelbach J; Ciritsis A; Rossi C; Borkowski K; Boss A
Eur Radiol; 2022 Jul; 32(7):4868-4878. PubMed ID: 35147776
[TBL] [Abstract][Full Text] [Related]
6. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.
Qian X; Zhang B; Liu S; Wang Y; Chen X; Liu J; Yang Y; Chen X; Wei Y; Xiao Q; Ma J; Shung KK; Zhou Q; Liu L; Chen Z
Eur Radiol; 2020 May; 30(5):3023-3033. PubMed ID: 32006174
[TBL] [Abstract][Full Text] [Related]
7. FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images.
Cui W; Peng Y; Yuan G; Cao W; Cao Y; Lu Z; Ni X; Yan Z; Zheng J
Med Phys; 2022 Jan; 49(1):144-157. PubMed ID: 34766623
[TBL] [Abstract][Full Text] [Related]
8. Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images.
Kaplan E; Chan WY; Dogan S; Barua PD; Bulut HT; Tuncer T; Cizik M; Tan RS; Acharya UR
Med Eng Phys; 2022 Oct; 108():103895. PubMed ID: 36195364
[TBL] [Abstract][Full Text] [Related]
9. Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images.
Bobowicz M; Badocha M; Gwozdziewicz K; Rygusik M; Kalinowska P; Szurowska E; Dziubich T
Int J Med Inform; 2024 Jun; 189():105522. PubMed ID: 38852288
[TBL] [Abstract][Full Text] [Related]
10. Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study.
Ferreira MR; Torres HR; Oliveira B; de Araujo ARVF; Morais P; Novais P; Vilaca JL
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083151
[TBL] [Abstract][Full Text] [Related]
11. Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.
Huang Y; Han L; Dou H; Luo H; Yuan Z; Liu Q; Zhang J; Yin G
Biomed Eng Online; 2019 Jan; 18(1):8. PubMed ID: 30678680
[TBL] [Abstract][Full Text] [Related]
12. Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.
Gu Y; Xu W; Liu T; An X; Tian J; Ran H; Ren W; Chang C; Yuan J; Kang C; Deng Y; Wang H; Luo B; Guo S; Zhou Q; Xue E; Zhan W; Zhou Q; Li J; Zhou P; Chen M; Gu Y; Chen W; Zhang Y; Li J; Cong L; Zhu L; Wang H; Jiang Y
Eur Radiol; 2023 Apr; 33(4):2954-2964. PubMed ID: 36418619
[TBL] [Abstract][Full Text] [Related]
13. CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images.
Tasnim J; Hasan MK
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38056017
[No Abstract] [Full Text] [Related]
14. A computer-aided diagnosis system for breast ultrasound based on weighted BI-RADS classes.
Rodríguez-Cristerna A; Gómez-Flores W; de Albuquerque Pereira WC
Comput Methods Programs Biomed; 2018 Jan; 153():33-40. PubMed ID: 29157459
[TBL] [Abstract][Full Text] [Related]
15. Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks.
Fujioka T; Katsuta L; Kubota K; Mori M; Kikuchi Y; Kato A; Oda G; Nakagawa T; Kitazume Y; Tateishi U
Ultrason Imaging; 2020; 42(4-5):213-220. PubMed ID: 32501152
[TBL] [Abstract][Full Text] [Related]
16. Differential Diagnosis of Breast Category 3 and 4 Nodules Through BI-RADS Classification in Conjunction with Shear Wave Elastography.
Wang M; Yang Z; Liu C; Yan J; Zhang W; Sun J; Cui G
Ultrasound Med Biol; 2017 Mar; 43(3):601-606. PubMed ID: 27988221
[TBL] [Abstract][Full Text] [Related]
17. [Diagnostic value of contrast-enhanced ultrasound in breast lesions of BI-RADS 4].
Liang YC; Jia CM; Xue Y; Lü Q; Chen F; Wang JJ
Zhonghua Yi Xue Za Zhi; 2018 May; 98(19):1498-1502. PubMed ID: 29804418
[No Abstract] [Full Text] [Related]
18. The Diagnostic Value of 3D Power Doppler Ultrasound Combined With VOCAL in the Vascular Distribution of Breast Masses.
Wang H; Yan B; Yue L; He M; Liu Y; Li H
Acad Radiol; 2020 Feb; 27(2):198-203. PubMed ID: 31053481
[TBL] [Abstract][Full Text] [Related]
19. Incorporating Contrast-Enhanced Ultrasound into the BI-RADS Scoring System Improves Accuracy in Breast Tumor Diagnosis: A Preliminary Study in China.
Xiao X; Dong L; Jiang Q; Guan X; Wu H; Luo B
Ultrasound Med Biol; 2016 Nov; 42(11):2630-2638. PubMed ID: 27544439
[TBL] [Abstract][Full Text] [Related]
20. Breast Imaging-Reporting and Data System (BI-RADS) classification in 51 excised palpable pediatric breast masses.
Koning JL; Davenport KP; Poole PS; Kruk PG; Grabowski JE
J Pediatr Surg; 2015 Oct; 50(10):1746-50. PubMed ID: 25783351
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
