# SIMBA
**Repository Path**: huogenwang/SIMBA
## Basic Information
- **Project Name**: SIMBA
- **Description**: 骨龄项目代码SIMBA,欢迎大家下载
- **Primary Language**: Unknown
- **License**: CC0-1.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-09-19
- **Last Updated**: 2024-05-02
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# **SIMBA: Specific Identity Markers for Bone Age Assessment**
**¡We released a new version of the Bone Age Assessment Resources!**
**Follow this [link](http://marr.uniandes.edu.co/baar/home) to find the updated webpage with new methods, curated datasets and an evaluation server with a public leaderboard for fair comparison of Bone Age Assessment algorithms.**
This repository provides a PyTorch implementation of SIMBA, presented in the paper [SIMBA: Specific Identity Markers for Bone Age Assessment](https://link.springer.com/chapter/10.1007/978-3-030-59725-2_73). Presented at [MICCAI,2020](https://www.miccai2020.org/). SIMBA is a novel approach for the task of BAA based on the use of identity markers. For this purpose, we build upon the [state-of-the-art model](https://github.com/BCV-Uniandes/Bonet), fusing the information present in the identity markers with the visual features created from the original hand radiograph. We then use this robust representation to estimate the patient’s relative bone age: the difference between chronological age and bone age.
## Paper
[SIMBA: Specific Identity Markers for Bone Age Assessment](https://link.springer.com/chapter/10.1007/978-3-030-59725-2_73)
[Cristina González](https://cigonzalez.github.io/) 1* , [María Escobar](https://mc-escobar11.github.io/) 1* ,[Laura Daza](https://sites.google.com/view/ldaza/en)1,[Felipe Torres](https://ftorres11.github.io/) 1, [Gustavo Triana](http://radiologiafsfb.org/site/index.php?option=com_content&view=category&id=176&Itemid=332)2, [Pablo Arbeláez](https://scholar.google.com.co/citations?user=k0nZO90AAAAJ&hl=en)1
*Equal contribution.
1 Center for Research and Formation in Artificial Intelligence ([CINFONIA](https://cinfonia.uniandes.edu.co/)) , Universidad de Los Andes.
2 Radiology department, Fundación Santa Fe de Bogotá.
