Retinal Mosaicking with Vascular Bifurcations Detected on Vessel Mask by a Convolutional Network

Joint Authors

Yang, Wei
Yun, Zhaoqiang
Gou, Xiaofang
Feng, Xiuxia
Cai, Guangwei
Wang, Wenhui

Source

Journal of Healthcare Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-01-09

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Public Health
Medicine

Abstract EN

Mosaicking of retinal images is potentially useful for ophthalmologists and computer-aided diagnostic schemes.

Vascular bifurcations can be used as features for matching and stitching of retinal images.

A fully convolutional network model is employed to segment vascular structures in retinal images to detect vascular bifurcations.

Then, bifurcations are extracted as feature points on the vascular mask by a robust and efficient approach.

Transformation parameters for stitching can be estimated from the correspondence of vascular bifurcations.

The proposed feature detection and mosaic method is evaluated on retinal images of 14 different eyes, 62 retinal images.

The proposed method achieves a considerably higher average recall rate of matching for paired images compared with speeded-up robust features and scale-invariant feature transform.

The running time of our method was also lower than other methods.

Results produced by the proposed method superior to that of AutoStitch, photomerge function in Photoshop cs6 and ICE, demonstrate that accurate matching of detected vascular bifurcations could lead to high-quality mosaic of retinal images.

American Psychological Association (APA)

Feng, Xiuxia& Cai, Guangwei& Gou, Xiaofang& Yun, Zhaoqiang& Wang, Wenhui& Yang, Wei. 2020. Retinal Mosaicking with Vascular Bifurcations Detected on Vessel Mask by a Convolutional Network. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1186365

Modern Language Association (MLA)

Feng, Xiuxia…[et al.]. Retinal Mosaicking with Vascular Bifurcations Detected on Vessel Mask by a Convolutional Network. Journal of Healthcare Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1186365

American Medical Association (AMA)

Feng, Xiuxia& Cai, Guangwei& Gou, Xiaofang& Yun, Zhaoqiang& Wang, Wenhui& Yang, Wei. Retinal Mosaicking with Vascular Bifurcations Detected on Vessel Mask by a Convolutional Network. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1186365

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186365