194 related articles for article (PubMed ID: 31442972)
1. Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
Wang Y; Wang N; Xu M; Yu J; Qin C; Luo X; Yang X; Wang T; Li A; Ni D
IEEE Trans Med Imaging; 2020 Apr; 39(4):866-876. PubMed ID: 31442972
[TBL] [Abstract][Full Text] [Related]
2. 3D Inception U-net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound.
Wang Y; Qin C; Lin C; Lin D; Xu M; Luo X; Wang T; Li A; Ni D
Med Phys; 2020 Nov; 47(11):5582-5591. PubMed ID: 33459385
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.
Moon WK; Huang YS; Hsu CH; Chang Chien TY; Chang JM; Lee SH; Huang CS; Chang RF
Comput Methods Programs Biomed; 2020 Jul; 190():105360. PubMed ID: 32007838
[TBL] [Abstract][Full Text] [Related]
4. 3D tumor detection in automated breast ultrasound using deep convolutional neural network.
Li Y; Wu W; Chen H; Cheng L; Wang S
Med Phys; 2020 Nov; 47(11):5669-5680. PubMed ID: 32970838
[TBL] [Abstract][Full Text] [Related]
5. Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.
van Zelst JCM; Tan T; Clauser P; Domingo A; Dorrius MD; Drieling D; Golatta M; Gras F; de Jong M; Pijnappel R; Rutten MJCM; Karssemeijer N; Mann RM
Eur Radiol; 2018 Jul; 28(7):2996-3006. PubMed ID: 29417251
[TBL] [Abstract][Full Text] [Related]
6. Multi-dimensional tumor detection in automated whole breast ultrasound using topographic watershed.
Lo CM; Chen RT; Chang YC; Yang YW; Hung MJ; Huang CS; Chang RF
IEEE Trans Med Imaging; 2014 Jul; 33(7):1503-11. PubMed ID: 24718570
[TBL] [Abstract][Full Text] [Related]
7. Three-dimensional automated breast ultrasound: Technical aspects and first results.
Vourtsis A
Diagn Interv Imaging; 2019 Oct; 100(10):579-592. PubMed ID: 30962169
[TBL] [Abstract][Full Text] [Related]
8. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
9. Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging.
Chen JH; Lee YW; Chan SW; Yeh DC; Chang RF
Ultrasound Med Biol; 2016 May; 42(5):1211-20. PubMed ID: 26831342
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound.
Tan T; Mordang JJ; van Zelst J; Grivegnée A; Gubern-Mérida A; Melendez J; Mann RM; Zhang W; Platel B; Karssemeijer N
Med Phys; 2015 Apr; 42(4):1498-504. PubMed ID: 25832040
[TBL] [Abstract][Full Text] [Related]
11. Tumor detection in automated breast ultrasound images using quantitative tissue clustering.
Moon WK; Lo CM; Chen RT; Shen YW; Chang JM; Huang CS; Chen JH; Hsu WW; Chang RF
Med Phys; 2014 Apr; 41(4):042901. PubMed ID: 24694157
[TBL] [Abstract][Full Text] [Related]
12. Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation.
Chiang TC; Huang YS; Chen RT; Huang CS; Chang RF
IEEE Trans Med Imaging; 2019 Jan; 38(1):240-249. PubMed ID: 30059297
[TBL] [Abstract][Full Text] [Related]
13. Analysis of false-negative readings of automated breast ultrasound studies.
Grubstein A; Rapson Y; Gadiel I; Cohen M
J Clin Ultrasound; 2017 Jun; 45(5):245-251. PubMed ID: 28295423
[TBL] [Abstract][Full Text] [Related]
14. Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study.
Skaane P; Gullien R; Eben EB; Sandhaug M; Schulz-Wendtland R; Stoeblen F
Acta Radiol; 2015 Apr; 56(4):404-12. PubMed ID: 24682405
[TBL] [Abstract][Full Text] [Related]
15. Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis.
Agarwal R; Diaz O; Lladó X; Gubern-Mérida A; Vilanova JC; Martí R
Ultrason Imaging; 2018 Mar; 40(2):97-112. PubMed ID: 29182056
[TBL] [Abstract][Full Text] [Related]
16. Whole-Breast Ultrasound for Breast Screening and Archiving.
Huang CS; Yang YW; Chen RT; Lo CM; Lo C; Cheng CF; Lee CS; Chang RF
Ultrasound Med Biol; 2017 May; 43(5):926-933. PubMed ID: 28283326
[TBL] [Abstract][Full Text] [Related]
17. The lesion detection efficacy of deep learning on automatic breast ultrasound and factors affecting its efficacy: a pilot study.
PhD XL; Xu M; Tang G; PhD YW; Wang N; PhD DN; PhD XL; Li AH
Br J Radiol; 2022 Feb; 95(1130):20210438. PubMed ID: 34860574
[TBL] [Abstract][Full Text] [Related]
18. Diagnostic Performance Using Automated Breast Ultrasound System for Breast Cancer in Chinese Women Aged 40 Years or Older: A Comparative Study.
Zhang L; Bao LY; Tan YJ; Zhu LQ; Xu XJ; Zhu QQ; Shan YN; Zhao J; Xie LS; Liu J
Ultrasound Med Biol; 2019 Dec; 45(12):3137-3144. PubMed ID: 31563481
[TBL] [Abstract][Full Text] [Related]
19. Comparison of automated breast ultrasonography to handheld ultrasonography in detecting and diagnosing breast lesions.
Jeh SK; Kim SH; Choi JJ; Jung SS; Choe BJ; Park S; Park MS
Acta Radiol; 2016 Feb; 57(2):162-9. PubMed ID: 25766727
[TBL] [Abstract][Full Text] [Related]
20. Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information.
Ye C; Vaidya V; Zhao F
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():2865-8. PubMed ID: 25570589
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]