Can I read Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation on EtoBox?

Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation by Chu-Min Nien; Er-Hsiang Yang; Wei-Lun Chang; Hsiu-Chi Cheng; Chun-Rong Huang is a book available to read on EtoBox.

What is Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation about?

In this paper, we propose a novel criss-cross attention based multi-level fusion network to segment gastric intestinal metaplasia from narrow-band endoscopic images. Our network is composed of two subnetworks including criss-cross attention based feature fusion encoder and feature activation map guided multi-level decoder. The former one learns representative deep features by imposing attention on features of multiple receptive fields. The latter one segments gastric intestinal metaplasia regions by using the feature activation map scheme to enhance the importance of decoder features and avoid overfitting. As shown in the experimental results, our method outperforms state-of-the-art semantic segmentation methods on a novel challenging endoscopic image dataset. The source code is available at https://github.com/nchucvml/CCA-MFNet.

Author

Chu-Min Nien; Er-Hsiang Yang; Wei-Lun Chang; Hsiu-Chi Cheng; Chun-Rong Huang

Publisher

Springer International Publishing

Published

2022

Language

EN

ISBN

9783031210822

Subjects

Science, Technology, Engineering