DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Qian DaXiaodi HuangZhongyu LiYanfei ZuoChenbin ZhangJingxin LiuWen ChenJiahui LiDou XuZhiqiang HuHongmei YiYan GuoZhe WangLing ChenLi ZhangXianying HeXiaofan ZhangKe MeiChuang ZhuWeizeng LuLinlin ShenJun ShiJun LiSreehari SGanapathy KrishnamurthiJiangcheng YangTiancheng LinQingyu SongXuechen LiuSimon GrahamRaja Muhammad Saad BashirCanqian YangShaofei QinXinmei TianBaocai YinJie ZhaoDimitris N. MetaxasHongsheng LiChaofu WangShaoting ZhangPublished in: Medical Image Anal. (2022)
Keyphrases
- benchmark datasets
- reliable detection
- image segmentation
- segmentation algorithm
- landmark detection
- level set
- segmentation method
- multiscale
- object detection
- false positives
- detection algorithm
- shape prior
- detection method
- automated detection
- cell segmentation
- object segmentation
- region growing
- automatic detection
- pixel level
- low signal to noise ratio
- medical images
- fully automatic
- pedestrian detection
- lesion segmentation
- boundary detection
- complex background
- automated analysis
- image analysis
- foreground background separation
- detection rate
- fracture detection
- automatic initialization
- automatically segmented
- edge detection
- temporal segmentation
- active contours
- false alarms
- medical imaging
- computer vision