# PytorchDeepLearing

**Repository Path**: yuanxuegui/PytorchDeepLearing

## Basic Information

- **Project Name**: PytorchDeepLearing
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-01-17
- **Last Updated**: 2025-01-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PytorchDeepLearing

# ImageSegment Model
> There are some Model NetWorks of 3D ImageSegment and 2D ImageSegment

## ImageSegment Nets
> There are Unet and Vnet Family all has 2d and 3d version.

# ImageSegment Loss Function
> There are some loss functions of 3D ImageSegment and 2D ImageSegment

## How to Use
i have reimplemented the image segmentation loss functions with pytorch1.10.0

there are binary_crossentropy,dice_loss,focal_loss_sigmod etc all has 2d and 3d version.

there are categorical loss functions of crossentropy,dice_loss,focal_loss etc all has 2d and 3d version.

MS-SSIM loss and SSIM loss for calculating image similarity.

centerline dice loss for vessel segmentation

there are 9 type of segment metric,including dice,surface disatance,jaccard,VOE,RVD,FNR,FPR,ASSD,RMSD,MSD,etc.

flask_app.py is the demo example of the Flask Deep Learning Segmentation Model Service Deployment.

## Contact
* https://github.com/junqiangchen
* email: 1207173174@qq.com
* WeChat Public number: 最新医学影像技术