GithubHelp home page GithubHelp logo

Dataset 4C

The Dataset4C.hdf5 file consists in 396 images in RGB scale (Information is only on one channel to avoid overtraining), divided in 4 classes. There are 277 training images, 59 validation images and 60 test images. (70% for training, 15% for validation and 15% for testing)

The images are getting from:

Kermany, Daniel & Goldbaum, Michael & Cai, Wenjia & Valentim, Carolina & Liang, Hui-Ying & Baxter, Sally & McKeown, Alex & Yang, Ge & Wu, Xiaokang & Yan, Fangbing & Dong, Justin & Prasadha, Made & Pei, Jacqueline & Ting, Magdalena & Zhu, Jie & Li, Christina & Hewett, Sierra & Dong, Jason & Ziyar, Ian & Zhang, Kang. (2018). 
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. 
Cell. 172. 1122-1131.e9. 10.1016/j.cell.2018.02.010. 
https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia 

Joseph Paul Cohen and Paul Morrison and Lan Dao
COVID-19 image data collection, arXiv:2003.11597, 2020
https://github.com/ieee8023/covid-chestxray-dataset

hdf5 file created by:

Author: Sergio Luis Beleño Díaz
Date: 2020-04-04

The classes are:

Normal: 99
Pneumonia Vir: 99
Pneumonia Bact: 99
COVID-19: 99

Labels:

Normal ==> 0
Pneumonia Vir ==> 1
Pneumonia Bact ==> 2
COVID-19 ==> 3

Size:

(512,512,3)

Information only on one channel

How to implement it

You can find an example of implementation in the following link:

https://github.com/Serbeld/Dataset-4C/blob/master/Data_4C.ipynb

How to download it

You can download it (Information only on one channel) in the following link:

https://drive.google.com/file/d/1yLD913J3SE7drzAvnwwcv2wKAMZXIH_L/view?usp=sharing

Sergio Luis Beleño Díaz's Projects

ai-art icon ai-art

PyTorch implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

brazocoordenadas icon brazocoordenadas

Este repositorio va orientado a los trabajos de visión artificial para una prótesis electrónica

cartografia icon cartografia

Este repositorio está orientado a realizar prácticas de Cartografía

chexnet-implementation-in-keras icon chexnet-implementation-in-keras

This is a reimplementation of CheXNet using Python3 and Keras. CheXNet, is a 121-layer convolutional neural network that inputs a chest X-ray image and outputs the probability of pneumonia along with a heatmap localizing the areas of the image most indicative of pneumonia.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cultivofungi icon cultivofungi

Este repositorio va destinado al análisis del modelo de crecimiento de hongos usando visión artificial

dataset-4c-d icon dataset-4c-d

Unbalanced dataset for the pre-training of artificial neural networks

dataset5c icon dataset5c

Dataset5C for help with COVID-19 detections

dataset6c icon dataset6c

Dataset6C for help with COVID-19 detections

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

django-python icon django-python

This repository is created to practice with the Django framework following the gitflow rules.

documentacion icon documentacion

Documentación en español de GitHub, Estándares, Diseños, Estatudos y más.

ecg icon ecg

ECG Arduino AD8232 + MATLAB

editando_imagenes icon editando_imagenes

Este repositorio va destinado a la edición de imagenes mediante el uso de visión artificial.

editor.js icon editor.js

A block-styled editor with clean JSON output

forqualitycontrol icon forqualitycontrol

Design of applications through the use of artificial vision for quality control in the Industrial sector

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.