Cell Segmentation
State-of-the-art leaderboards
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Greatest papers with code
U-Net: Convolutional Networks for Biomedical Image Segmentation
There is large consent that successful training of deep networks requires many thousand annotated training samples.
CELL SEGMENTATION DATA AUGMENTATION LUNG NODULE SEGMENTATION PANCREAS SEGMENTATION RETINAL VESSEL SEGMENTATION SEMANTIC SEGMENTATION SKIN CANCER SEGMENTATION
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.
Cell Detection with Star-convex Polygons
Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications.
Applying Faster R-CNN for Object Detection on Malaria Images
• tobsecret/Awesome_Malaria_Parasite_Imaging_Datasets
Deep learning based models have had great success in object detection, but the state of the art models have not yet been widely applied to biological image data.
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes
• yijingru/KG_Instance_Segmentation
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In this paper, we propose a new box-based cell instance segmentation method.
CELL SEGMENTATION INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION