Segmentation of Nuclei in Histopathology Images by deep regression of the distance map

Citation Author(s):
Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas;
Submitted by:
Peter Naylor
Last updated:
Thu, 11/08/2018 - 10:34
DOI:
10.21227/H26X0H
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Abstract 

We make our dataset publicly avaiable. It consists of 50 H&E stained histopathology annotated images at the nuclei level. This dataset is ideal for those who want an exhaustive annotation of H&E breast cancer patient from a Tripple Negative Breast Cancer cohort.

Instructions: 

The data is organized as follow.

For one patient, lets say patient x, has two folder: Slide_x and GT_x, in Slide_x you will find the raw images and in GT_x you will find the associated annotations in png format.

Comments

my main investigation is on medical image processing.

Submitted by sanaz karimi on Thu, 04/09/2020 - 18:18

my research particularly is the diagnosis of breast cancer.

Submitted by sanaz karimi on Thu, 04/09/2020 - 18:20

our classification and segmentation are based on deep and machine learning methods.

 

Submitted by sanaz karimi on Thu, 04/09/2020 - 18:22