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https://github.com/d-d-roshan/origin-medical


https://github.com/d-d-roshan/origin-medical

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# 🏥 Medical Image Annotation SaaS Tool

## 🚀 Project Overview
This SaaS application aids healthcare lab technicians in annotating medical images accurately. It provides tools for annotation, geometric measurements, DICOM image handling, and image manipulation, improving diagnostic workflows.

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## 📋 Table of Contents
1. [Features](#features)
2. [Tech Stack](#tech-stack)
3. [Setup and Deployment](#setup-and-deployment)

---

## 🌟 Features
### Core Functionality
- Upload and view DICOM and PNG images
- Extract and display DICOM metadata (e.g., patient name, study date)

---

## 🛠 Tech Stack
### Frontend:




### Backend:






### Additional Libraries:
- **Image Manipulation:** Konva.js
- **DICOM Handling:** Cornerstone.js

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## ⚙️ Setup and Deployment
### Local Development
1. **Clone the Repository:**
```bash
git clone https://github.com/D-D-Roshan/origin-medical
cd origin medical
```

2. **Install Dependencies:**
- Frontend:
```bash
cd frontend
npm install
```
- Backend:
```bash
cd backend
npm install
```

3. **Start the Application:**
- **Frontend:**
```bash
npm run start
```
- **Backend:**
```bash
npm run server
```

### Production Deployment
1. **Build Frontend:**
```bash
cd frontend
npm run build
```

2. **Configure Environment Variables:**
Create a `.env` file in the server folder with the following variables:
```plaintext
MONGODB_URI=
PORT=
```

3. **Deploy to Cloud Services:**
- Vercel

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## 🚀 Deployed App
🔗 **[Live Demo](https://origin-medical-5fo7.vercel.app/)**

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Enjoy exploring the code, and feel free to contribute! 🌐🩺

## Contact