March 29, 2024, 4:42 a.m. | Han Yuan, Chuan Hong, Pengtao Jiang, Gangming Zhao, Nguyen Tuan Anh Tran, Xinxing Xu, Yet Yen Yan, Nan Liu

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.18871v1 Announce Type: cross
Abstract: Background: Pneumothorax is an acute thoracic disease caused by abnormal air collection between the lungs and chest wall. To address the opaqueness often associated with deep learning (DL) models, explainable artificial intelligence (XAI) methods have been introduced to outline regions related to pneumothorax diagnoses made by DL models. However, these explanations sometimes diverge from actual lesion areas, highlighting the need for further improvement. Method: We propose a template-guided approach to incorporate the clinical knowledge of …

abstract artificial artificial intelligence arxiv classification clinical collection cs.ai cs.cv cs.lg deep learning disease domain domain knowledge explainable artificial intelligence intelligence knowledge template type xai

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