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Nuclear Segmentation

5 papers with code ยท Medical

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NuClick: From Clicks in the Nuclei to Nuclear Boundaries

7 Sep 2019

Best performing nuclear segmentation methods are based on deep learning algorithms that require a large amount of annotated data.

INSTANCE SEGMENTATION NUCLEAR SEGMENTATION SEMANTIC SEGMENTATION

Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework

27 Aug 2019

Spectral clustering method is applied on the output of the last SpaNet, which utilizes the nuclear mask and the Gaussian-like detection map for determining the connected components and associated cluster identifiers, respectively.

INSTANCE SEGMENTATION NUCLEAR SEGMENTATION SEMANTIC SEGMENTATION

Accurate Nuclear Segmentation with Center Vector Encoding

9 Jul 2019

Nuclear segmentation is important and frequently demanded for pathology image analysis, yet is also challenging due to nuclear crowdedness and possible occlusion.

NUCLEAR SEGMENTATION

Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections

13 Feb 2018

The fusion relies on integrating of networks that learn region- and boundary-based representations.

NUCLEAR SEGMENTATION

Classification of Tumor Histology via Morphometric Context

CVPR 2013

Image-based classification of tissue histology, in terms of different components (e. g., normal signature, categories of aberrant signatures), provides a series of indices for tumor composition.

NUCLEAR SEGMENTATION