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fpm-fasterrcnn

https://github.com/houdahas/fpm-fasterrcnn

Science Score: 44.0%

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Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Houdahas
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 133 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

FPM-FasterRCNN

[Investigating joint amplitude and phase imaging of stained samples in automatic diagnosis]

[Houda Hassini, Bernadette Dorizzi, Marc Thellier, Jacques Klossa and Yaneck Gottesman, "[Investigating joint amplitude and phase imaging of stained samples in automatic diagnosis]",

This repository contains the code for the experiments discussed in the article. These experiments include a complex-valued model that utilizes the real and imaginary parts of FPM images, a real-valued model that uses intensity and phase FPM images, and a real-valued model that solely utilizes intensity FPM images. This code is inspired by the code https://github.com/FurkanOM/tf-faster-rcnn of Fatser-RCNN implementation in tensorflow.

Install the python environment

With conda env

create the conda environment for models: $ conda env create -f fasterrcnn-tensorflow-condaenv.yml

Traning and testing

The training data must be TFRecord format or the dataloader must be adapted to your dataset format. The code allows to be used to train RPN only or all the faster RCNN

Owner

  • Login: Houdahas
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: FPM-Complex-valued-FasterRCNN
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: >-
      Houda Hassini , Bernadette Dorizzi, Marc Thellier,
      Jacques Klossa and Yaneck Gottesman
    email: houdahassini@icloud.com
    name-particle: Houda
    family-names: HASSINI
    affiliation: >-
      amovar, Télécom SudParis, Institut Polytechnique de
      Paris, 91120 Palaiseau, France
identifiers:
  - type: url
    value: 'https://github.com/Houdahas/FPM-FasterRCNN'

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