Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images- Technical Review

Description

This project is a web application built with React.js especially for technical review of Research Projects. (Can be Used as a Template for other projects as well)

Technologies Used

This project is built using the following key technologies:

• Frontend: React.js
• Build Tool: Vite
• Styling: Tailwind CSS
• Language: TypeScript
• Package Manager: [Indicate which one you primarily use: Bun, npm, or Yarn]
• Code Quality: ESLint

Getting Started

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Make sure you have the following installed:

• Node.js (LTS version recommended)
• [Your chosen package manager: Bun, npm, or Yarn]

Installation

1. Clone the repository:

   git clone https://github.com/saky-semicolon/Retinal-Layer-Segmentation-Web-Page
   

2. Navigate to the project directory:

   cd Retinal-Layer-Segmentation-Web-Page
   

3. Install dependencies:

   # If using Bun
   bun install
   
   # If using npm
   npm install
   
   # If using Yarn
   yarn install
   

Running the Project

To start the development server:

# If using Bun
bun dev

# If using npm
npm run dev

# If using Yarn
yarn dev

Authors

• S M Asiful Islam Saky (Corresponding Author)
• Ugyen Tshering

Affiliation: Albukhary International University, Malaysia