Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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摘要A weakly-supervised framework is proposed that cannot only make class inference but also provides reasonable decision basis in bone X-ray images. We implement it in three stages progressively:(1) design a classification network and use positive class activation map (PCAM) for attention location;(2) generate masks from attention maps and lead the model to make classification prediction from the activation areas;(3) label lesions in very few images and guide the model to learn simultaneously. We test the proposed method on a bone X-ray dataset. Results show that it achieves significant improvements in lesion location.
著者Jianjie Lu, Kai-yu Tong
會議名稱Thirty-Third AAAI Conference on Artificial Intelligence
會議開始日27.01.2019
會議完結日01.02.2019
會議地點Hawaii, USA
會議國家/地區美國
會議論文集題名Proceedings of the AAAI Conference on Artificial Intelligence
出版年份2019
卷號33
期次01
頁次9985 - 9986
國際標準書號978-1-57735-809-1
語言美式英語
關鍵詞X-Ray, Image Classification

上次更新時間 2020-28-11 於 02:23