Skip to content
#

dice-loss

Here are 23 public repositories matching this topic...

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

  • Updated Jul 24, 2020
  • Jupyter Notebook

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

  • Updated Oct 26, 2024
  • Python

Improve this page

Add a description, image, and links to the dice-loss topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the dice-loss topic, visit your repo's landing page and select "manage topics."

Learn more