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yuki-okamura-hf/
TRQseg-v1

Name: TRQseg-v1
Availability: InStock

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TRQseg-v1

This repository contains the DeepLabV3-ResNet50 segmentation models (five-fold ensemble) used in our study on automated quantitative evaluation of age-related thymic involution on plain chest CT.

What is included

weights/fold-0/model.safetensors
weights/fold-1/model.safetensors
weights/fold-2/model.safetensors
weights/fold-3/model.safetensors
weights/fold-4/model.safetensors
predict.ipynb (inference notebook)

Intended use

The model segments the thymic region for quantification (TRQ) on plain chest CT and is intended for research use.

Reference

Okamura YT, Endo K, Toriihara A, et al. Automated Quantitative Evaluation of Age-Related Thymic Involution on Plain Chest CT. Annals of Biomedical Engineering (2025). https://doi.org/10.1007/s10439-025-03805-z

yuki-okamura-hf/TRQseg-v1

TRQseg-v1

What is included

Intended use

Reference

yuki-okamura-hf/
TRQseg-v1