Nuclear Segmentation

7 papers with code • 1 benchmarks • 3 datasets

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Most implemented papers

Image-to-Image Translation with Conditional Adversarial Networks

phillipi/pix2pix CVPR 2017

We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.

Mask R-CNN

matterport/Mask_RCNN ICCV 2017

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

alexjc/neural-enhance 27 Mar 2016

We consider image transformation problems, where an input image is transformed into an output image.

HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images

vqdang/xy_net 16 Dec 2018

Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow.

Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images

simongraham/dsf-cnn 6 Apr 2020

Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear.

Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion

dliu5812/PFFNet International Joint Conference on Artificial Intelligence (IJCAI-19) 2019

Automated detection and segmentation of individual nuclei in histopathology images is important for cancer diagnosis and prognosis.

RDCNet: Instance segmentation with a minimalist recurrent residual network

fmi-basel/RDCNet 2 Oct 2020

Instance segmentation is a key step for quantitative microscopy.