Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/deniztemur00/my-deep-learning-notebooks

My machine learning notebooks. Feel free to use for your purposes.
https://github.com/deniztemur00/my-deep-learning-notebooks

colab-notebook convolutional-neural-networks deep-learning deep-neural-networks image-segmentation isic-challenge keras-neural-networks keras-tensorflow medical-imaging python segmentation-models

Last synced: 2 days ago
JSON representation

My machine learning notebooks. Feel free to use for your purposes.

Awesome Lists containing this project

README

        

# Automated Segmentation Template for Large Medical Images [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1ak2ydOF5EMuu_YY6Ca0k5QzXI_Nr0177?usp=sharing)

-- Includes preprocess functions.

-- You have to use your own data (expressed in detail).

-- Used Tensorflow API.

-- Used Segmentation-Models ([Source](https://github.com/qubvel/segmentation_models)).

-- Used custom loss functions ([Source](https://github.com/Mr-TalhaIlyas/Loss-Functions-Package-Tensorflow-Keras-PyTorch)).

# ISIC-2018-Segmentation-Task [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1YIaOQD7ivcB2y_nqjwj6c2DUaOx6N2DB?usp=sharing)

--This is a segmentation task on ISIC 2018 dataset.

--I used Google Colab as a workspace.

--Implemented UNet model using Keras API.

Datasets:

https://challenge.isic-archive.com/data/

https://www.kaggle.com/datasets/tschandl/isic2018-challenge-task1-data-segmentation)