201 related articles for article (PubMed ID: 32568671)
21. Variable background active contour model for computer-aided delineation of nodules in thyroid ultrasound images.
Maroulis DE; Savelonas MA; Iakovidis DK; Karkanis SA; Dimitropoulos N
IEEE Trans Inf Technol Biomed; 2007 Sep; 11(5):537-43. PubMed ID: 17912970
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Active contours guided by echogenicity and texture for delineation of thyroid nodules in ultrasound images.
Savelonas MA; Iakovidis DK; Legakis I; Maroulis D
IEEE Trans Inf Technol Biomed; 2009 Jul; 13(4):519-27. PubMed ID: 19193513
[TBL] [Abstract][Full Text] [Related]
24. Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images.
Buda M; Wildman-Tobriner B; Castor K; Hoang JK; Mazurowski MA
Ultrasound Med Biol; 2020 Feb; 46(2):415-421. PubMed ID: 31699547
[TBL] [Abstract][Full Text] [Related]
25. Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound images.
Rusnell BJ; Pierson RA; Singh J; Adams GP; Eramian MG
Reprod Biol Endocrinol; 2008 Aug; 6():33. PubMed ID: 18680589
[TBL] [Abstract][Full Text] [Related]
26. Fully-automated tongue detection in ultrasound images.
Karimi E; Ménard L; Laporte C
Comput Biol Med; 2019 Aug; 111():103335. PubMed ID: 31279163
[TBL] [Abstract][Full Text] [Related]
27. Automated location of thyroid nodules in ultrasound images with improved YOLOV3 network.
Zhang L; Zhuang Y; Hua Z; Han L; Li C; Chen K; Peng Y; Lin J
J Xray Sci Technol; 2021; 29(1):75-90. PubMed ID: 33136086
[TBL] [Abstract][Full Text] [Related]
28. Intuitionistic fuzzy segmentation of medical images.
Chaira T
IEEE Trans Biomed Eng; 2010 Jun; 57(6):1430-6. PubMed ID: 20172785
[TBL] [Abstract][Full Text] [Related]
29. Cascade marker removal algorithm for thyroid ultrasound images.
Ying X; Zhang Y; Yu M; Wei X; Zhu J; Gao J; Liu Z; Shen H; Zhang R; Li X; Yu R
Med Biol Eng Comput; 2020 Nov; 58(11):2641-2656. PubMed ID: 32840765
[TBL] [Abstract][Full Text] [Related]
30. Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation.
Daulatabad R; Vega R; Jaremko JL; Kapur J; Hareendranathan AR; Punithakumar K
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2637-2640. PubMed ID: 34891794
[TBL] [Abstract][Full Text] [Related]
31. Super-resolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning.
Li J; Guo Q; Peng S; Tan X
Curr Med Imaging; 2024; 20(1):e15734056269264. PubMed ID: 38766836
[TBL] [Abstract][Full Text] [Related]
32. An adaptive Fuzzy C-means method utilizing neighboring information for breast tumor segmentation in ultrasound images.
Feng Y; Dong F; Xia X; Hu CH; Fan Q; Hu Y; Gao M; Mutic S
Med Phys; 2017 Jul; 44(7):3752-3760. PubMed ID: 28513858
[TBL] [Abstract][Full Text] [Related]
33. A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images.
Tsantis S; Dimitropoulos N; Cavouras D; Nikiforidis G
Comput Methods Programs Biomed; 2006 Dec; 84(2-3):86-98. PubMed ID: 17055608
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation.
Chen H; Yu MA; Chen C; Zhou K; Qi S; Chen Y; Xiao R
Comput Biol Med; 2023 Feb; 153():106514. PubMed ID: 36628913
[TBL] [Abstract][Full Text] [Related]
36. An Intuitionistic Fuzzy Clustering Approach for Detection of Abnormal Regions in Mammogram Images.
Chaira T
J Digit Imaging; 2021 Apr; 34(2):428-439. PubMed ID: 33755865
[TBL] [Abstract][Full Text] [Related]
37. Ultrasonic thyroid nodule detection method based on U-Net network.
Chu C; Zheng J; Zhou Y
Comput Methods Programs Biomed; 2021 Feb; 199():105906. PubMed ID: 33360682
[TBL] [Abstract][Full Text] [Related]
38. A novel fully automatic multilevel thresholding technique based on optimized intuitionistic fuzzy sets and tsallis entropy for MR brain tumor image segmentation.
Kaur T; Saini BS; Gupta S
Australas Phys Eng Sci Med; 2018 Mar; 41(1):41-58. PubMed ID: 29238919
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method.
Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
Comput Methods Programs Biomed; 2021 Jan; 198():105809. PubMed ID: 33130495
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
