Cell Segmentation
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 ELECTRON MICROSCOPY IMAGE SEGMENTATION IMAGE AUGMENTATION LESION SEGMENTATION 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.
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
Applying Faster R-CNN for Object Detection on Malaria Images
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.
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features
• SAIL-GuoLab/Cell_Segmentation_and_Tracking
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The ability to extrapolate gene expression dynamics in living single cells requires robust cell segmentation, and one of the challenges is the amorphous or irregularly shaped cell boundaries.
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario
• kuku-sichuan/ComparisonDetector
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In this paper we propose an efficient CNN-based object detection methods for cervical cancer cells/clumps detection.