Pyramid graph cut: Integrating intensity and gradient information for grayscale medical image segmentation
© 2020 Elsevier Ltd Segmentation of grayscale medical images is challenging because of the similarity of pixel intensities and poor gradient strength between adjacent regions. The existing image segmentation approaches based on either intensity or gradient information alone often fail to produce acc...
Saved in:
Main Authors: | Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy |
---|---|
Other Authors: | Mahidol University |
Format: | Article |
Published: |
2020
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/59040 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
Similar Items
-
A General Approach to Segmentation in CT Grayscale Images using Variable Neighborhood Search
by: Thanongchai Siriapisith, et al.
Published: (2020) -
Outer Wall Segmentation of Abdominal Aortic Aneurysm by Variable Neighborhood Search Through Intensity and Gradient Spaces
by: Thanongchai Siriapisith, et al.
Published: (2019) -
A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre and post-operative abdominal aortic aneurysm
by: Thanongchai Siriapisith, et al.
Published: (2022) -
3D segmentation of exterior wall surface of abdominal aortic aneurysm from CT images using variable neighborhood search
by: Thanongchai Siriapisith, et al.
Published: (2020) -
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images
by: Thanongchai Siriapisith, et al.
Published: (2022)