medicalnet-resnet3d10-23datasets

MedicalNet for classification

The MedicalNet project aggregated the dataset with diverse modalities, target organs, and pathologies to to build relatively large datasets. Based on this dataset, a series of 3D-ResNet pre-trained models and corresponding transfer-learning training code are provided.

This repository is an unofficial implementation of Tencent's Med3D model (Med3D: Transfer Learning for 3D Medical Image Analysis), originally developed for 3d segmentation tasks. It has been adapted for classification tasks using the 3D-ResNet backbone and made compatible with the Hugging Face library.

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License

MedicalNet is released under the MIT License (refer to the LICENSE file for details).

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Citing MedicalNet

If you use this code or pre-trained models, please cite the following:

    @article{chen2019med3d,
        title={Med3D: Transfer Learning for 3D Medical Image Analysis},
        author={Chen, Sihong and Ma, Kai and Zheng, Yefeng},
        journal={arXiv preprint arXiv:1904.00625},
        year={2019}
    }

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Model Sources

• Repository: https://github.com/Tencent/MedicalNet (original)
• Unofficial Torch Hub Wrapper: https://github.com/Warvito/MedicalNet-models
• Unofficial Huggingface Wrapper: https://github.com/JINAILAB/medicalnet3d-huggingface

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How to Get Started with the Model

from transformers import AutoConfig, AutoModelForImageClassification
import torch

config = AutoConfig.from_pretrained(
    'nwirandx/medicalnet-resnet3d10-23datasets',
    trust_remote_code=True
)

# use a model from scratch
# model = AutoModelForImageClassification.from_config(
#     config,
#     trust_remote_code=True
# )

# use pretrained model
model = AutoModelForImageClassification.from_pretrained(
    'nwirandx/medicalnet-resnet3d10-23datasets',
    trust_remote_code=True
)

x = torch.randn(1, 1, 64, 64, 64)  # Example 3D volume
outputs = model(x)

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MedicalNet Model Family

Original MedicalNet Series (Tencent on Hugging Face)

• TencentMedicalNet/MedicalNet-Resnet10
• TencentMedicalNet/MedicalNet-Resnet18
• TencentMedicalNet/MedicalNet-Resnet34
• TencentMedicalNet/MedicalNet-Resnet50
• TencentMedicalNet/MedicalNet-Resnet101
• TencentMedicalNet/MedicalNet-Resnet152
• TencentMedicalNet/MedicalNet-Resnet200

Unofficial Versions of the MedicalNet Classification Model Series

• nwirandx/medicalnet-resnet3d10
• nwirandx/medicalnet-resnet3d10-23datasets
• nwirandx/medicalnet-resnet3d50
• nwirandx/medicalnet-resnet3d50-23datasets
• nwirandx/medicalnet-resnet3d101
• nwirandx/medicalnet-resnet3d152
• nwirandx/medicalnet-resnet3d200