1004 related articles for article (PubMed ID: 28762196)
21. Detection of Thyroid Nodules with Ultrasound Images Based on Deep Learning.
Yu X; Wang H; Ma L
Curr Med Imaging Rev; 2020; 16(2):174-180. PubMed ID: 32003318
[TBL] [Abstract][Full Text] [Related]
22. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.
Zabihollahy F; White JA; Ukwatta E
Med Phys; 2019 Apr; 46(4):1740-1751. PubMed ID: 30734937
[TBL] [Abstract][Full Text] [Related]
23. Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.
Vivanti R; Joskowicz L; Lev-Cohain N; Ephrat A; Sosna J
Med Biol Eng Comput; 2018 Sep; 56(9):1699-1713. PubMed ID: 29524116
[TBL] [Abstract][Full Text] [Related]
24. A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation.
Lin X; Zhou X; Tong T; Nie X; Wang L; Zheng H; Li J; Xue E; Chen S; Zheng M; Chen C; Jiang H; Du M; Gao Q
Comput Methods Programs Biomed; 2022 Dec; 227():107186. PubMed ID: 36334526
[TBL] [Abstract][Full Text] [Related]
25. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Ibragimov B; Xing L
Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.
Hu P; Wu F; Peng J; Bao Y; Chen F; Kong D
Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):399-411. PubMed ID: 27885540
[TBL] [Abstract][Full Text] [Related]
28. A two-stage network with prior knowledge guidance for medullary thyroid carcinoma recognition in ultrasound images.
Pan L; Cai Y; Lin N; Yang L; Zheng S; Huang L
Med Phys; 2022 Apr; 49(4):2413-2426. PubMed ID: 35103313
[TBL] [Abstract][Full Text] [Related]
29. Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.
Zhu J; Zhang J; Qiu B; Liu Y; Liu X; Chen L
Acta Oncol; 2019 Feb; 58(2):257-264. PubMed ID: 30398090
[TBL] [Abstract][Full Text] [Related]
30. Reliable Thyroid Carcinoma Detection with Real-Time Intelligent Analysis of Ultrasound Images.
Fang H; Gong L; Xu Y; Zhuo Y; Kong W; Peng C; Yuan J
Ultrasound Med Biol; 2021 Mar; 47(3):590-602. PubMed ID: 33328131
[TBL] [Abstract][Full Text] [Related]
31. Objective assessment of segmentation models for thyroid ultrasound images.
Yadav N; Dass R; Virmani J
J Ultrasound; 2023 Sep; 26(3):673-685. PubMed ID: 36195781
[TBL] [Abstract][Full Text] [Related]
32. Local and Context-Attention Adaptive LCA-Net for Thyroid Nodule Segmentation in Ultrasound Images.
Tao Z; Dang H; Shi Y; Wang W; Wang X; Ren S
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015742
[TBL] [Abstract][Full Text] [Related]
33. Agile convolutional neural network for pulmonary nodule classification using CT images.
Zhao X; Liu L; Qi S; Teng Y; Li J; Qian W
Int J Comput Assist Radiol Surg; 2018 Apr; 13(4):585-595. PubMed ID: 29473129
[TBL] [Abstract][Full Text] [Related]
34. Deep learning enables automatic quantitative assessment of puborectalis muscle and urogenital hiatus in plane of minimal hiatal dimensions.
van den Noort F; van der Vaart CH; Grob ATM; van de Waarsenburg MK; Slump CH; van Stralen M
Ultrasound Obstet Gynecol; 2019 Aug; 54(2):270-275. PubMed ID: 30461079
[TBL] [Abstract][Full Text] [Related]
35. Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.
Chi J; Walia E; Babyn P; Wang J; Groot G; Eramian M
J Digit Imaging; 2017 Aug; 30(4):477-486. PubMed ID: 28695342
[TBL] [Abstract][Full Text] [Related]
36. Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.
Wang L; Zhang L; Zhu M; Qi X; Yi Z
Med Image Anal; 2020 Apr; 61():101665. PubMed ID: 32062156
[TBL] [Abstract][Full Text] [Related]
37. Fast and robust segmentation of the striatum using deep convolutional neural networks.
Choi H; Jin KH
J Neurosci Methods; 2016 Dec; 274():146-153. PubMed ID: 27777000
[TBL] [Abstract][Full Text] [Related]
38. Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning.
Kang Q; Lao Q; Li Y; Jiang Z; Qiu Y; Zhang S; Li K
Med Image Anal; 2022 Jul; 79():102443. PubMed ID: 35537340
[TBL] [Abstract][Full Text] [Related]
39. Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.
Dong X; Xu S; Liu Y; Wang A; Saripan MI; Li L; Zhang X; Lu L
Cancer Imaging; 2020 Aug; 20(1):53. PubMed ID: 32738913
[TBL] [Abstract][Full Text] [Related]
40. Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.
Liu T; Guo Q; Lian C; Ren X; Liang S; Yu J; Niu L; Sun W; Shen D
Med Image Anal; 2019 Dec; 58():101555. PubMed ID: 31520984
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]