Colorectal Gland Segmentation:

6 papers with code • 1 benchmarks • 2 datasets

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Greatest papers with code

U-Net: Convolutional Networks for Biomedical Image Segmentation

milesial/Pytorch-UNet 18 May 2015

There is large consent that successful training of deep networks requires many thousand annotated training samples.

Cell Segmentation Colorectal Gland Segmentation: +8

Group Equivariant Convolutional Networks

adambielski/pytorch-gconv-experiments 24 Feb 2016

We introduce Group equivariant Convolutional Neural Networks (G-CNNs), a natural generalization of convolutional neural networks that reduces sample complexity by exploiting symmetries.

Breast Tumour Classification Colorectal Gland Segmentation: +2

Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis

tueimage/se2cnn 20 Feb 2020

This study is focused on histopathology image analysis applications for which it is desirable that the arbitrary global orientation information of the imaged tissues is not captured by the machine learning models.

Breast Tumour Classification Colorectal Gland Segmentation: +3

Rotation equivariant vector field networks


In many computer vision tasks, we expect a particular behavior of the output with respect to rotations of the input image.

Breast Tumour Classification Colorectal Gland Segmentation: +4