@inproceedings{36df18b58dc144bf876476ea3624b03d,
title = "Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation",
abstract = "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 sub-networks 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 = "Nien, {Chu Min} and Yang, {Er Hsiang} and Chang, {Wei Lun} and Cheng, {Hsiu Chi} and Huang, {Chun Rong}",
note = "Funding Information: Acknowledgements. This work was supported in part by the National Science and Technology Council, Taiwan under Grant MOST 110-2634-F-006-022, 111-2327-B-006-007, and 111-2628-E-005-007-MY3. We would like to thank National Center for High-performance Computing (NCHC) for providing computational and storage resources. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Workshop on Imaging Systems for GI Endoscopy, ISGIE 2022 and 4th International Workshop on GRaphs in biomedicAl Image anaLysis, GRAIL 2022 held in Conjunction with 25th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022 ; Conference date: 18-09-2022 Through 18-09-2022",
year = "2022",
doi = "10.1007/978-3-031-21083-9_2",
language = "English",
isbn = "9783031210822",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "13--23",
editor = "Luigi Manfredi and Alwyn Mathew and Ludovic Magerand and Emanuele Trucco and Seyed-Ahmad Ahmadi and Michael Bronstein and Bartlomiej Papiez and Anees Kazi and Davide Lomanto and Kamilia Mullakaeva and Taylor, {Russell H.}",
booktitle = "Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - 1st MICCAI Workshop, ISGIE 2022, and 4th MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Proceedings",
address = "Germany",
}