SaharStudios/LungCancerClassification
This repository contains a deep learning-based cancer type prediction system using a trained convolutional neural network (CNN). The model is deployed using Streamlit, allowing users to upload medical images and receive predictions with a probability distribution displayed in a pie chart.
This system helps medical professionals and researchers quickly classify lung cancer types from histopathological images. You upload a medical image, and it provides a prediction of the cancer type along with a probability distribution, displayed visually as a pie chart. It's designed for pathologists, oncologists, and medical researchers involved in cancer diagnosis and treatment planning.
Use this if you need an automated tool to assist in classifying lung cancer types from medical images, providing probabilistic insights.
Not ideal if you need a diagnostic tool that replaces clinical judgment, as this is an assistive classification system, not a definitive diagnosis.
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7
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4
Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 13, 2026
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