This repository stores the model for Unet-tiny-medical, compatible with Kalray's neural network API.
Please see
www.github.com/kalray/kann-models-zoo
for details and proper usage.
@article{buda2019association,
title={Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm},
author={Buda, Mateusz and Saha, Ashirbani and Mazurowski, Maciej A},
journal={Computers in Biology and Medicine},
volume={109},
year={2019},
publisher={Elsevier},
doi={10.1016/j.compbiomed.2019.05.002}
}
unet2d-tiny-med huggingface.co is an AI model on huggingface.co that provides unet2d-tiny-med's model effect (), which can be used instantly with this Kalray unet2d-tiny-med model. huggingface.co supports a free trial of the unet2d-tiny-med model, and also provides paid use of the unet2d-tiny-med. Support call unet2d-tiny-med model through api, including Node.js, Python, http.
unet2d-tiny-med huggingface.co is an online trial and call api platform, which integrates unet2d-tiny-med's modeling effects, including api services, and provides a free online trial of unet2d-tiny-med, you can try unet2d-tiny-med online for free by clicking the link below.
Kalray unet2d-tiny-med online free url in huggingface.co:
unet2d-tiny-med is an open source model from GitHub that offers a free installation service, and any user can find unet2d-tiny-med on GitHub to install. At the same time, huggingface.co provides the effect of unet2d-tiny-med install, users can directly use unet2d-tiny-med installed effect in huggingface.co for debugging and trial. It also supports api for free installation.