File size: 1,281 Bytes
a097349
814a594
 
 
a097349
 
92486ce
a097349
 
 
 
814a594
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
---
title: HakimAi
emoji: 🏥
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: "4.40.0"
app_file: app.py
pinned: false
---

# HakimAi

A medical imaging analysis platform powered by BiomedParse, offering comprehensive biomedical image analysis across multiple modalities.

## Features

- **Multi-modal Analysis**: Support for various medical imaging types including X-ray, CT, MRI, pathology, and more
- **Advanced Detection**: Automated identification and segmentation of medical objects and conditions
- **Interactive Interface**: User-friendly Gradio interface for easy image upload and analysis
- **Powered by BiomedParse**: Utilizes Microsoft's BiomedParse foundation model for accurate medical image analysis

## Usage

1. Upload your medical image
2. Select the analysis type
3. View the results including segmentation masks and detection results

## Technical Details

This space uses:
- BiomedParse foundation model for medical image analysis
- Gradio for the web interface
- Git LFS for handling large files
- Python 3.9+ environment

## Model Information

Based on BiomedParse, capable of:
- Segmentation
- Detection
- Recognition across nine biomedical modalities

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference