E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image.
Lei CaoJie WangYuanyuan ZhangZhiwei RongMeng WangLiuying WangJianxin JiYouhui QianLiuchao ZhangHao WuJiali SongZheng LiuWenjie WangShuang LiPeiyu WangZhenyi XuJingyuan ZhangLiang ZhaoHang WangMengting SunXing HuangRong YinYuhong LuZiqian LiuKui DengGongwei WangMantang QiuKang LiJun WangYan HouPublished in: Medical Image Anal. (2023)
Keyphrases
- end to end
- weakly supervised
- input image
- convolutional network
- image data
- image classification
- image representation
- multiscale
- image features
- image content
- superpixels
- image segmentation
- segmentation method
- image retrieval
- computer vision
- test images
- high resolution
- text mining
- segmentation algorithm
- feature space
- similarity measure
- object class
- object detectors
- feature selection
- learning algorithm