Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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.
- Host: GitHub
- URL: https://github.com/deniztemur00/my-deep-learning-notebooks
- Owner: deniztemur00
- License: mit
- Created: 2022-05-16T15:51:29.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-29T19:15:03.000Z (over 2 years ago)
- Last Synced: 2024-08-27T15:55:26.098Z (6 months ago)
- Topics: colab-notebook, convolutional-neural-networks, deep-learning, deep-neural-networks, image-segmentation, isic-challenge, keras-neural-networks, keras-tensorflow, medical-imaging, python, segmentation-models
- Language: Jupyter Notebook
- Homepage:
- Size: 14.9 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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)