184 related articles for article (PubMed ID: 33428123)
1. Methods for the segmentation and classification of breast ultrasound images: a review.
Ilesanmi AE; Chaumrattanakul U; Makhanov SS
J Ultrasound; 2021 Dec; 24(4):367-382. PubMed ID: 33428123
[TBL] [Abstract][Full Text] [Related]
2. Breast ultrasound image segmentation: a survey.
Huang Q; Luo Y; Zhang Q
Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):493-507. PubMed ID: 28070777
[TBL] [Abstract][Full Text] [Related]
3. An attention-supervised full-resolution residual network for the segmentation of breast ultrasound images.
Qu X; Shi Y; Hou Y; Jiang J
Med Phys; 2020 Nov; 47(11):5702-5714. PubMed ID: 32964449
[TBL] [Abstract][Full Text] [Related]
4. Automated segmentation of ultrasonic breast lesions using statistical texture classification and active contour based on probability distance.
Liu B; Cheng HD; Huang J; Tian J; Liu J; Tang X
Ultrasound Med Biol; 2009 Aug; 35(8):1309-24. PubMed ID: 19481332
[TBL] [Abstract][Full Text] [Related]
5. Trustworthy Breast Ultrasound Image Semantic Segmentation Based on Fuzzy Uncertainty Reduction.
Huang K; Zhang Y; Cheng HD; Xing P
Healthcare (Basel); 2022 Dec; 10(12):. PubMed ID: 36554005
[TBL] [Abstract][Full Text] [Related]
6. A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set.
Guo Y; Şengür A; Tian JW
Comput Methods Programs Biomed; 2016 Jan; 123():43-53. PubMed ID: 26483304
[TBL] [Abstract][Full Text] [Related]
7. Lesion segmentation in breast ultrasound images using the optimized marked watershed method.
Shen X; Ma H; Liu R; Li H; He J; Wu X
Biomed Eng Online; 2021 Jun; 20(1):57. PubMed ID: 34098970
[TBL] [Abstract][Full Text] [Related]
8. Fully automatic tumor segmentation of breast ultrasound images with deep learning.
Zhang S; Liao M; Wang J; Zhu Y; Zhang Y; Zhang J; Zheng R; Lv L; Zhu D; Chen H; Wang W
J Appl Clin Med Phys; 2023 Jan; 24(1):e13863. PubMed ID: 36495018
[TBL] [Abstract][Full Text] [Related]
9. SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification.
Zhang G; Zhao K; Hong Y; Qiu X; Zhang K; Wei B
Int J Comput Assist Radiol Surg; 2021 Oct; 16(10):1719-1725. PubMed ID: 34254225
[TBL] [Abstract][Full Text] [Related]
10. Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts.
Zhou Z; Wu W; Wu S; Tsui PH; Lin CC; Zhang L; Wang T
Ultrason Imaging; 2014 Oct; 36(4):256-76. PubMed ID: 24759696
[TBL] [Abstract][Full Text] [Related]
11. Segmentation of breast ultrasound image with semantic classification of superpixels.
Huang Q; Huang Y; Luo Y; Yuan F; Li X
Med Image Anal; 2020 Apr; 61():101657. PubMed ID: 32032899
[TBL] [Abstract][Full Text] [Related]
12. Multiscale superpixel method for segmentation of breast ultrasound.
Ilesanmi AE; Idowu OP; Makhanov SS
Comput Biol Med; 2020 Oct; 125():103879. PubMed ID: 32890977
[TBL] [Abstract][Full Text] [Related]
13. BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems.
Gómez-Flores W; Gregorio-Calas MJ; Coelho de Albuquerque Pereira W
Med Phys; 2024 Apr; 51(4):3110-3123. PubMed ID: 37937827
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Deep learning applied to breast imaging classification and segmentation with human expert intervention.
Wilding R; Sheraton VM; Soto L; Chotai N; Tan EY
J Ultrasound; 2022 Sep; 25(3):659-666. PubMed ID: 35000127
[TBL] [Abstract][Full Text] [Related]
16. Medical breast ultrasound image segmentation by machine learning.
Xu Y; Wang Y; Yuan J; Cheng Q; Wang X; Carson PL
Ultrasonics; 2019 Jan; 91():1-9. PubMed ID: 30029074
[TBL] [Abstract][Full Text] [Related]
17. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network.
Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y
Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092
[TBL] [Abstract][Full Text] [Related]
18. Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model.
Hu Y; Guo Y; Wang Y; Yu J; Li J; Zhou S; Chang C
Med Phys; 2019 Jan; 46(1):215-228. PubMed ID: 30374980
[TBL] [Abstract][Full Text] [Related]
19. Boundary-rendering network for breast lesion segmentation in ultrasound images.
Huang R; Lin M; Dou H; Lin Z; Ying Q; Jia X; Xu W; Mei Z; Yang X; Dong Y; Zhou J; Ni D
Med Image Anal; 2022 Aug; 80():102478. PubMed ID: 35691144
[TBL] [Abstract][Full Text] [Related]
20. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
Gómez-Flores W; Coelho de Albuquerque Pereira W
Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
