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deep_texture_histology: Deep Texture Representations for Cancer Histology Images

Project description

https://github.com/dakomura/deep_texture_histology/blob/main/docs/_static/logo/dtr_logo.jpg

Overview

deep_texture_representation is a python library to calculate deep texture representations (DTRs) for histology images (Cell Reports, 2022). Fucntions for plotting the distribution of DTRs and content-based image retrieval are also implemented.

Installation

The package can be installed with pip:

$ pip install deeptexture

Prerequisites

Python version 3.6 or newer.

  • numpy >=1.20.3

  • tensorflow >=2.1.0

  • joblib >=0.13.2

  • Pillow >=8.0.1

  • nmslib >=2.0.6

  • matplotlib >= 3.5.0

  • scikit-learn >=1.1.0

  • seaborn >=0.10.1

  • pandas >=1.1.0

Project details


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