Knowledge Commons of Institute of Automation,CAS
Rethinking Polyp Segmentation from An Out-ofdistribution Perspective | |
Ge-Peng Ji1; Jing Zhang1; Dylan Campbell1; Huan Xiong2; Nick Barnes1 | |
发表期刊 | Machine Intelligence Research
![]() |
ISSN | 2731-538X |
2024 | |
卷号 | 21期号:4页码:631-639 |
摘要 | Unlike existing fully-supervised approaches, we rethink colorectal polyp segmentation from an out-of-distribution perspective with a simple but effective self-supervised learning approach. We leverage the ability of masked autoencoders – self-supervised vision transformers trained on a reconstruction task – to learn in-distribution representations, here, the distribution of healthy colon images. We then perform out-of-distribution reconstruction and inference, with feature space standardisation to align the latent distribution of the diverse abnormal samples with the statistics of the healthy samples. We generate per-pixel anomaly scores for each image by calculating the difference between the input and reconstructed images and use this signal for out-of-distribution (i.e., polyp) segmentation. Experimental results on six benchmarks show that our model has excellent segmentation performance and generalises across datasets. Our code is publicly available at https://github.com/GewelsJI/Polyp-OOD. |
关键词 | Polyp segmentation anomaly segmentation out-of-distribution segmentation masked autoencoder abdomen |
DOI | 10.1007/s11633-023-1472-2 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/58563 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Australian National University, Canberra 8105, Australia 2.Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi 999041, UAE |
推荐引用方式 GB/T 7714 | Ge-Peng Ji,Jing Zhang,Dylan Campbell,et al. Rethinking Polyp Segmentation from An Out-ofdistribution Perspective[J]. Machine Intelligence Research,2024,21(4):631-639. |
APA | Ge-Peng Ji,Jing Zhang,Dylan Campbell,Huan Xiong,&Nick Barnes.(2024).Rethinking Polyp Segmentation from An Out-ofdistribution Perspective.Machine Intelligence Research,21(4),631-639. |
MLA | Ge-Peng Ji,et al."Rethinking Polyp Segmentation from An Out-ofdistribution Perspective".Machine Intelligence Research 21.4(2024):631-639. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2023-06-092.pdf(2420KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论