Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)（2021）
Key words
histology imagery,different imaging data,expected visual appearance,widely studied problem,anomaly occurrences,underlying generating processes,trained domain experts,unsupervised detection,visual anomalies approaches,normal appearance,supervised approaches,image-to-image translation-based framework,unsupervised methods,challenging domain,cancerous region detection,cancerous regions
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined