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Multiclass Image Classification of Prostate Cancer Histopathology Images with EfficientNetV2 and a Web Application with user uploaded images

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Flask OpenAI & Image Classification Project | MSc Thesis 2024

This project provides an API for image classification using TensorFlow's EfficientNetV2 model and a chatbot powered by OpenAI GPT.

This web application is designed to facilitate interactive conversations about prostate cancer, leveraging the capabilities of OpenAI’s language models. The goal is to provide users with accurate information in a user-friendly format.

Features

  • Image classification with EfficientNetV2 to classify ISUP scores.
  • Chatbot interface powered by OpenAI GPT for conversation and insights.

Prerequisites

Before you begin, ensure you have the following installed:

  • Python 3.8+
  • OpenAI API key (put it inside config/settings.py)

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Multiclass Image Classification of Prostate Cancer Histopathology Images with EfficientNetV2 and a Web Application with user uploaded images

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