deep convolutional neural network for patient chest disease prediction
Project description
PNEUMONIA XRAY RESULT CLASSIFICATION
A machine learning program that classifies correctly sick patient's chest xray reports to be either pneumonia infected or normal. This program uses a neural network algorithm to detect sick patient.
Data set and its description
Data | Description |
---|---|
Image | the image object (jpeg format) |
Label | class of the image (normal, pneumonia) |
Dependencies and packages
- numpy>=1.20.0,<1.21.0
- python = 3.10
- pandas = 2.2.2
- scikit-learn = 1.4.2
- pydantic = 2.7.0
- strictyaml = 1.7.3
- tensorflow = 2.16.1
- scikeras = 0.13.0
- tensorflow-datasets = 4.9.4
- pillow = 10.3.0
- pydantic-settings = 2.2.1
- fastapi = 0.110.3
- uvicorn = 0.29.0
- loguru = 0.7.2
- python-multipart = 0.0.9
Source code link
Source code link: Github link
Python index package: Pypi link
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for pneumonia_model_package-0.3.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a3a804e572ab4450128366b56fc23c61973ab506463b14c3185293ec79d7fb43 |
|
MD5 | 42e75931b452ece82347c66c71af5a86 |
|
BLAKE2b-256 | 6b546d4f3abdfa91e4aad552684364f9c4f2bc286f201fceb1118025d3eb1559 |
Close
Hashes for pneumonia_model_package-0.3.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4bb1ee80366db5de818c7255e62878871b8ec545681193f429e2575b791d3536 |
|
MD5 | 76421ff4480f780bafa8e19d1ca618dd |
|
BLAKE2b-256 | 7412ce5ca3d8dd0bb4ff426330a42d3bbbfb25ce30fd4a38a5d3daa49dbe06ec |