@inproceedings{a004ece175e7464dac074007108ee80a,
title = "Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization",
abstract = "This work focuses on a new methodology for class-based attention, which is an extension to the more common image-based attention mechanism. The class-based attention mechanism learns a different attention mask for each class. This enables to simultaneously apply a different localization procedure for different pathologies in the same image, thus important for a multilabel categorization. We apply the method to detect and localize a set of pathologies in chest Radiographs. The proposed network architecture was evaluated on publicly available X-ray datasets and yielded improved classification results compared to standard image based attention.",
keywords = "X-ray, attention mechanism, chest, localization",
author = "David Sriker and Hayit Greenspan and Jacob Goldberger",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022 ; Conference date: 28-03-2022 Through 31-03-2022",
year = "2022",
doi = "https://doi.org/10.1109/isbi52829.2022.9761667",
language = "الإنجليزيّة",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
booktitle = "ISBI 2022 - Proceedings",
address = "الولايات المتّحدة",
}