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
File details
Details for the file pneumonia_model_package-0.3.0.tar.gz
.
File metadata
- Download URL: pneumonia_model_package-0.3.0.tar.gz
- Upload date:
- Size: 83.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.12 Darwin/23.3.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a3a804e572ab4450128366b56fc23c61973ab506463b14c3185293ec79d7fb43 |
|
MD5 | 42e75931b452ece82347c66c71af5a86 |
|
BLAKE2b-256 | 6b546d4f3abdfa91e4aad552684364f9c4f2bc286f201fceb1118025d3eb1559 |
File details
Details for the file pneumonia_model_package-0.3.0-py3-none-any.whl
.
File metadata
- Download URL: pneumonia_model_package-0.3.0-py3-none-any.whl
- Upload date:
- Size: 83.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.12 Darwin/23.3.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4bb1ee80366db5de818c7255e62878871b8ec545681193f429e2575b791d3536 |
|
MD5 | 76421ff4480f780bafa8e19d1ca618dd |
|
BLAKE2b-256 | 7412ce5ca3d8dd0bb4ff426330a42d3bbbfb25ce30fd4a38a5d3daa49dbe06ec |