Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation

10/09/2020
by   Yicheng Wu, et al.
8

Analyzing the morphological attributes of blood vessels plays a critical role in the computer-aided diagnosis of many cardiovascular and ophthalmologic diseases. Although being extensively studied, segmentation of blood vessels, particularly thin vessels and capillaries, remains challenging mainly due to the lack of an effective interaction between local and global features. In this paper, we propose a novel deep learning model called PC-Net to segment retinal vessels and major arteries in 2D fundus image and 3D computed tomography angiography (CTA) scans, respectively. In PC-Net, the pyramid squeeze-and-excitation (PSE) module introduces spatial information to each convolutional block, boosting its ability to extract more effective multi-scale features, and the coarse-to-fine (CF) module replaces the conventional decoder to enhance the details of thin vessels and process hard-to-classify pixels again. We evaluated our PC-Net on the Digital Retinal Images for Vessel Extraction (DRIVE) database and an in-house 3D major artery (3MA) database against several recent methods. Our results not only demonstrate the effectiveness of the proposed PSE module and CF module, but also suggest that our proposed PC-Net sets new state of the art in the segmentation of retinal vessels (AUC: 98.31 respectively.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

page 6

page 8

04/06/2021

Pyramid U-Net for Retinal Vessel Segmentation

Retinal blood vessel can assist doctors in diagnosis of eye-related dise...
09/05/2021

(M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation

Segmentation plays a crucial role in diagnosis. Studying the retinal vas...
04/07/2020

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation

The precise segmentation of retinal blood vessel is of great significanc...
11/22/2019

HybridNetSeg: A Compact Hybrid Network for Retinal Vessel Segmentation

A large number of retinal vessel analysis methods based on image segment...
11/05/2020

Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation

In this paper, we have developed a new method of accurate detection of r...
10/19/2021

Bilateral-ViT for Robust Fovea Localization

The fovea is an important anatomical landmark of the retina. Detecting t...
10/17/2021

Attention W-Net: Improved Skip Connections for better Representations

Segmentation of macro and microvascular structures in fundoscopic retina...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.