175 related articles for article (PubMed ID: 34881409)
1. 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]
2. 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]
3. SK-Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images.
Dai H; Xie W; Xia E
Med Phys; 2024 Mar; 51(3):1798-1811. PubMed ID: 37606374
[TBL] [Abstract][Full Text] [Related]
4. Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.
Ma J; Wu F; Jiang T; Zhu J; Kong D
Med Phys; 2017 May; 44(5):1678-1691. PubMed ID: 28186630
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Densely connected convolutional networks for ultrasound image based lesion segmentation.
Ma J; Kong D; Wu F; Bao L; Yuan J; Liu Y
Comput Biol Med; 2024 Jan; 168():107725. PubMed ID: 38006827
[TBL] [Abstract][Full Text] [Related]
7. Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases.
Karimi-Bidhendi S; Arafati A; Cheng AL; Wu Y; Kheradvar A; Jafarkhani H
J Cardiovasc Magn Reson; 2020 Nov; 22(1):80. PubMed ID: 33256762
[TBL] [Abstract][Full Text] [Related]
8. Intuitionistic based segmentation of thyroid nodules in ultrasound images.
Koundal D; Sharma B; Guo Y
Comput Biol Med; 2020 Jun; 121():103776. PubMed ID: 32568671
[TBL] [Abstract][Full Text] [Related]
9. Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study.
Wang Q; Liu Q; Luo G; Liu Z; Huang J; Zhou Y; Zhou Y; Xu W; Cheng JZ
BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 14):317. PubMed ID: 33323117
[TBL] [Abstract][Full Text] [Related]
10. An efficient framework for lesion segmentation in ultrasound images using global adversarial learning and region-invariant loss.
Manh V; Jia X; Xue W; Xu W; Mei Z; Dong Y; Zhou J; Huang R; Ni D
Comput Biol Med; 2024 Mar; 171():108137. PubMed ID: 38447499
[TBL] [Abstract][Full Text] [Related]
11. Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network.
Liu B; Pan D; Song H
BMC Med Imaging; 2021 Jan; 21(1):14. PubMed ID: 33509106
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.
Girum KB; Lalande A; Hussain R; Créhange G
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1467-1476. PubMed ID: 32691302
[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. MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation.
Chen G; Tan G; Duan M; Pu B; Luo H; Li S; Li K
Comput Biol Med; 2024 Feb; 169():107898. PubMed ID: 38176210
[TBL] [Abstract][Full Text] [Related]
16. Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction.
Groves LA; VanBerlo B; Veinberg N; Alboog A; Peters TM; Chen ECS
Int J Comput Assist Radiol Surg; 2020 Nov; 15(11):1835-1846. PubMed ID: 32839888
[TBL] [Abstract][Full Text] [Related]
17. Neutrosophic segmentation of breast lesions for dedicated breast computed tomography.
Lee J; Nishikawa RM; Reiser I; Boone JM
J Med Imaging (Bellingham); 2018 Jan; 5(1):014505. PubMed ID: 29541650
[TBL] [Abstract][Full Text] [Related]
18. Joint Detection of Tap and CEA Based on Deep Learning Medical Image Segmentation: Risk Prediction of Thyroid Cancer.
Lang S; Xu Y; Li L; Wang B; Yang Y; Xue Y; Shi K
J Healthc Eng; 2021; 2021():5920035. PubMed ID: 34158913
[TBL] [Abstract][Full Text] [Related]
19. 2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder.
Huang L; Zhao Z; An L; Gong Y; Wang Y; Yang Q; Wang Z; Hu G; Wang Y; Guo C
Quant Imaging Med Surg; 2024 Jan; 14(1):273-290. PubMed ID: 38223040
[TBL] [Abstract][Full Text] [Related]
20. Mask-R[Formula: see text]CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images.
Moccia S; Fiorentino MC; Frontoni E
Int J Comput Assist Radiol Surg; 2021 Oct; 16(10):1711-1718. PubMed ID: 34156608
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
