Automated analysis of a sequence of ovarian ultrasound images. Part I: Segmentation of single 2D images

Image and Vision Computing

Volumn 20, Issue 3, 2002, Pages 217-225

  Potočnik, Božidar ^a   Zazula, Damjan ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Ovarian follicle segmentation; Region growing; Ultrasound images; Weighted gradient

Indexed keywords

ALGORITHMS; GENETIC ENGINEERING; IMAGE SEGMENTATION; ULTRASONIC IMAGING;

OVARIAN ULTRASOUND IMAGES;

IMAGE ANALYSIS;

EID: 0036498326     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(01)00096-8     Document Type: Article

References (18)

1. On detecting edges in speckle imagery
2. Segmentation of ovarian ultrasound images using cellular neural networks
3. Biased motion-adaptive temporal filtering for speckle reduction in echocardigraphy
4. A new approach to combining region growing and edge detection
5. Prediction of ovarian cycle outcome by follicular characteristics, stage 1
6. Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks
7. Ovarian ultrasound image analysis: Follicle segmentation
8. Segmentation and tracking in echocardiographic sequences-active contours guided by optical flow estimates
9. Adaptive segmentation of ultrasound images
10. Automated computer-assisted detection of follicles in ultrasound images of ovary
11. Aktivne krivulje - Nadgradnja razpoznavalnih sistemov
12. Computer-assisted detection of ovarian follicles based on ultrasound images
13. Automated ovarian follicle segmentation using region growing
14. Detection of ovarian follicles in ultrasound images using region growing
15. Assessing the efficiency of segmentation algorithms for ultrasound images
16. Semi-automated segmentation of ovarian follicular ultrasound images using a knowledge-based algorithm
17. Cellular automata and follicle recognition problem and possibilities of using cellular automata for image recognition purposes