These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
158 related articles for article (PubMed ID: 28157660)
1. Adaptive local window for level set segmentation of CT and MRI liver lesions. Hoogi A; Beaulieu CF; Cunha GM; Heba E; Sirlin CB; Napel S; Rubin DL Med Image Anal; 2017 Apr; 37():46-55. PubMed ID: 28157660 [TBL] [Abstract][Full Text] [Related]
2. Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis. Hoogi A; Subramaniam A; Veerapaneni R; Rubin DL IEEE Trans Med Imaging; 2017 Mar; 36(3):781-791. PubMed ID: 28113927 [TBL] [Abstract][Full Text] [Related]
3. A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions. Wang K; Ma C Biomed Eng Online; 2016 Apr; 15():39. PubMed ID: 27074891 [TBL] [Abstract][Full Text] [Related]
4. Automatic liver segmentation by integrating fully convolutional networks into active contour models. Guo X; Schwartz LH; Zhao B Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688 [TBL] [Abstract][Full Text] [Related]
5. Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours. Li D; Liu L; Chen J; Li H; Yin Y; Ibragimov B; Xing L Phys Med Biol; 2017 Jan; 62(1):272-288. PubMed ID: 27991439 [TBL] [Abstract][Full Text] [Related]
6. Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images. Wang J; Cheng Y; Guo C; Wang Y; Tamura S Int J Comput Assist Radiol Surg; 2016 May; 11(5):817-26. PubMed ID: 26646416 [TBL] [Abstract][Full Text] [Related]
7. Multi-object segmentation framework using deformable models for medical imaging analysis. Namías R; D'Amato JP; Del Fresno M; Vénere M; Pirró N; Bellemare ME Med Biol Eng Comput; 2016 Aug; 54(8):1181-92. PubMed ID: 26392182 [TBL] [Abstract][Full Text] [Related]
8. Toward accurate tooth segmentation from computed tomography images using a hybrid level set model. Gan Y; Xia Z; Xiong J; Zhao Q; Hu Y; Zhang J Med Phys; 2015 Jan; 42(1):14-27. PubMed ID: 25563244 [TBL] [Abstract][Full Text] [Related]
9. Segmentation of images of skin lesions using color and texture information of surface pigmentation. Dhawan AP; Sicsu A Comput Med Imaging Graph; 1992; 16(3):163-77. PubMed ID: 1623492 [TBL] [Abstract][Full Text] [Related]
10. Efficient liver segmentation in CT images based on graph cuts and bottleneck detection. Liao M; Zhao YQ; Wang W; Zeng YZ; Yang Q; Shih FY; Zou BJ Phys Med; 2016 Nov; 32(11):1383-1396. PubMed ID: 27771278 [TBL] [Abstract][Full Text] [Related]
11. 3D liver segmentation using multiple region appearances and graph cuts. Peng J; Hu P; Lu F; Peng Z; Kong D; Zhang H Med Phys; 2015 Dec; 42(12):6840-52. PubMed ID: 26632041 [TBL] [Abstract][Full Text] [Related]
12. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms. Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217 [TBL] [Abstract][Full Text] [Related]
13. A novel region-based level set method initialized with mean shift clustering for automated medical image segmentation. Bai PR; Liu QY; Li L; Teng SH; Li J; Cao MY Comput Biol Med; 2013 Nov; 43(11):1827-32. PubMed ID: 24209928 [TBL] [Abstract][Full Text] [Related]
14. An active contour model for medical image segmentation with application to brain CT image. Qian X; Wang J; Guo S; Li Q Med Phys; 2013 Feb; 40(2):021911. PubMed ID: 23387759 [TBL] [Abstract][Full Text] [Related]
15. Adaptive fast marching method for automatic liver segmentation from CT images. Song X; Cheng M; Wang B; Huang S; Huang X; Yang J Med Phys; 2013 Sep; 40(9):091917. PubMed ID: 24007168 [TBL] [Abstract][Full Text] [Related]
16. Segmentation of MR image using local and global region based geodesic model. Li X; Jiang D; Shi Y; Li W Biomed Eng Online; 2015 Feb; 14():8. PubMed ID: 25971306 [TBL] [Abstract][Full Text] [Related]
17. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling. Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D; Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724 [TBL] [Abstract][Full Text] [Related]
18. A novel active contour model for serial image segmentation. Zengliang F; Xiaojun C; Ming Y; Chengtao W J Med Eng Technol; 2009; 33(4):303-8. PubMed ID: 19384706 [TBL] [Abstract][Full Text] [Related]
19. Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model. He B; Huang C; Sharp G; Zhou S; Hu Q; Fang C; Fan Y; Jia F Med Phys; 2016 May; 43(5):2421. PubMed ID: 27147353 [TBL] [Abstract][Full Text] [Related]
20. An improved level set method for vertebra CT image segmentation. Huang J; Jian F; Wu H; Li H Biomed Eng Online; 2013 May; 12():48. PubMed ID: 23714300 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]