161 related articles for article (PubMed ID: 36853584)
1. A hybrid attentional guidance network for tumors segmentation of breast ultrasound images.
Lu Y; Jiang X; Zhou M; Zhi D; Qiu R; Ou Z; Bai J
Int J Comput Assist Radiol Surg; 2023 Aug; 18(8):1489-1500. PubMed ID: 36853584
[TBL] [Abstract][Full Text] [Related]
2. DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images.
Pramanik P; Roy A; Cuevas E; Perez-Cisneros M; Sarkar R
PLoS One; 2024; 19(5):e0303670. PubMed ID: 38820462
[TBL] [Abstract][Full Text] [Related]
3. MFMSNet: A Multi-frequency and Multi-scale Interactive CNN-Transformer Hybrid Network for breast ultrasound image segmentation.
Wu R; Lu X; Yao Z; Ma Y
Comput Biol Med; 2024 Jul; 177():108616. PubMed ID: 38795419
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images.
Hu K; Zhang X; Lee D; Xiong D; Zhang Y; Gao X
IEEE J Biomed Health Inform; 2023 Sep; 27(9):4421-4432. PubMed ID: 37310830
[TBL] [Abstract][Full Text] [Related]
7. Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.
Alsinan AZ; Patel VM; Hacihaliloglu I
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1477-1485. PubMed ID: 32656685
[TBL] [Abstract][Full Text] [Related]
8. A neural network with a human learning paradigm for breast fibroadenoma segmentation in sonography.
Guo Y; Chen M; Yang L; Yin H; Yang H; Zhou Y
Biomed Eng Online; 2024 Jan; 23(1):5. PubMed ID: 38221632
[TBL] [Abstract][Full Text] [Related]
9. Global guidance network for breast lesion segmentation in ultrasound images.
Xue C; Zhu L; Fu H; Hu X; Li X; Zhang H; Heng PA
Med Image Anal; 2021 May; 70():101989. PubMed ID: 33640719
[TBL] [Abstract][Full Text] [Related]
10. C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation.
Chen G; Dai Y; Zhang J
Comput Methods Programs Biomed; 2022 Oct; 225():107086. PubMed ID: 36044802
[TBL] [Abstract][Full Text] [Related]
11. CTG-Net: Cross-task guided network for breast ultrasound diagnosis.
Yang K; Suzuki A; Ye J; Nosato H; Izumori A; Sakanashi H
PLoS One; 2022; 17(8):e0271106. PubMed ID: 35951606
[TBL] [Abstract][Full Text] [Related]
12. Boundary-oriented Network for Automatic Breast Tumor Segmentation in Ultrasound Images.
Zhang M; Huang A; Yang D; Xu R
Ultrason Imaging; 2023 Mar; 45(2):62-73. PubMed ID: 36951101
[TBL] [Abstract][Full Text] [Related]
13. Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.
Lee H; Park J; Hwang JY
IEEE Trans Ultrason Ferroelectr Freq Control; 2020 Jul; 67(7):1344-1353. PubMed ID: 32054578
[TBL] [Abstract][Full Text] [Related]
14. Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy.
Lazo JF; Marzullo A; Moccia S; Catellani M; Rosa B; de Mathelin M; De Momi E
Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):915-922. PubMed ID: 33909264
[TBL] [Abstract][Full Text] [Related]
15. Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images.
Ferreira MR; Torres HR; Oliveira B; Gomes-Fonseca J; Morais P; Novais P; Vilaca JL
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3878-3881. PubMed ID: 36085645
[TBL] [Abstract][Full Text] [Related]
16. Feature Pyramid Nonlocal Network With Transform Modal Ensemble Learning for Breast Tumor Segmentation in Ultrasound Images.
Tang P; Yang X; Nan Y; Xiang S; Liang Q
IEEE Trans Ultrason Ferroelectr Freq Control; 2021 Dec; 68(12):3549-3559. PubMed ID: 34280097
[TBL] [Abstract][Full Text] [Related]
17. Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images.
Ma J; Bao L; Lou Q; Kong D
Int J Comput Assist Radiol Surg; 2022 Feb; 17(2):363-372. PubMed ID: 34881409
[TBL] [Abstract][Full Text] [Related]
18. A Discriminative Level Set Method with Deep Supervision for Breast Tumor Segmentation.
Hussain S; Xi X; Ullah I; Inam SA; Naz F; Shaheed K; Ali SA; Tian C
Comput Biol Med; 2022 Oct; 149():105995. PubMed ID: 36055157
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
Ma J; Wu F; Jiang T; Zhao Q; Kong D
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]