Brain Connectivity Region Extraction using NER

Introduction

This project is centered around the development of a Named Entity Recognition (NER) model, designed to extract brain connectivity regions from text. It utilizes the WhiteText dataset and is implemented using Python with deep learning frameworks PyTorch and TensorFlow.

Features

• Extraction of brain connectivity regions from textual data using NER techniques.
• Utilization of the WhiteText dataset for training and evaluation.
• Implementation in Python with PyTorch and TensorFlow frameworks.

Getting Started

Prerequisites

• Python 3.x
• PyTorch
• TensorFlow