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Cell Segmentation

8 papers with code · Medical

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Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints

21 Apr 2020looooongChen/instance_segmentation_with_pixel_embeddings

The network is trained to output embedding vectors of similar directions for pixels from the same object, while adjacent objects are orthogonal in the embedding space, which effectively avoids the fusion of objects in a crowd.

CELL SEGMENTATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

2
21 Apr 2020

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

15 Jan 2020SAIL-GuoLab/Cell_Segmentation_and_Tracking

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.

CELL SEGMENTATION

20
15 Jan 2020

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

7 Mar 2019HzFu/MNet_DeepCDR

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 SEGMENTATION OPTIC DISC SEGMENTATION SEMANTIC SEGMENTATION

94
07 Mar 2019

Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario

14 Oct 2018kuku-sichuan/ComparisonDetector

In this paper we propose an efficient CNN-based object detection methods for cervical cancer cells/clumps detection.

CELL SEGMENTATION FEW-SHOT LEARNING OBJECT DETECTION

5
14 Oct 2018

Cell Detection with Star-convex Polygons

9 Jun 2018mpicbg-csbd/stardist

Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications.

CELL SEGMENTATION

126
09 Jun 2018

Applying Faster R-CNN for Object Detection on Malaria Images

25 Apr 2018tobsecret/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.

CELL SEGMENTATION OBJECT DETECTION

24
25 Apr 2018