Hello Hugging Face Community! I'm excited to share a project I've been working on: SkinCancerViT, a multimodal Vision Transformer model for skin lesion analysis 
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Hello Hugging Face Community! I'm excited to share a project I've been working on: SkinCancerViT, a multimodal Vision Transformer model for skin lesion analysis 
https://huggingface.co/ethicalabs/SkinCancerViT
ethicalabs/SkinCancerViT
model
resource
https://huggingface.co/ethicalabs/SkinCancerViT
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I've wrapped it in a Gradio app to make it easy to explore: 
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I've wrapped it in a Gradio app to make it easy to explore: 
https://huggingface.co/spaces/ethicalabs/SkinCancerViTPredictor
ethicalabs/SkinCancerViTPredictor
space
resource
https://huggingface.co/spaces/ethicalabs/SkinCancerViTPredictor
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This app is a research demonstration that combines dermatoscopic images with patient age and lesion localization to assist in classifying skin lesions.
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This app is a research demonstration that combines dermatoscopic images with patient age and lesion localization to assist in classifying skin lesions.
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You can either upload your own image and patient data for a prediction, or explore how the model performs on random samples from the 
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You can either upload your own image and patient data for a prediction, or explore how the model performs on random samples from the 
https://huggingface.co/datasets/marmal88/skin_cancer
marmal88/skin_cancer
dataset
resource
https://huggingface.co/datasets/marmal88/skin_cancer
 dataset.
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 dataset.
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I firmly believe that the only final, trustworthy diagnosis comes from medical professionals, and I am actively seeking medical institutions and researchers who might be interested in partnering with me to further explore the usage of this methodology, conducting further training with diverse datasets (ethically sourced and anonymized), performing extensive validation tests, and explore the possibility of running a federated fine-tuning simulation with 
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I firmly believe that the only final, trustworthy diagnosis comes from medical professionals, and I am actively seeking medical institutions and researchers who might be interested in partnering with me to further explore the usage of this methodology, conducting further training with diverse datasets (ethically sourced and anonymized), performing extensive validation tests, and explore the possibility of running a federated fine-tuning simulation with 
https://flower.ai/
https://flower.ai/
link
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As a software engineer, I do not possess medical expertise and I am seeking collaboration with medical professionals and AI/ML researchers. You can find the project source code, which includes data preprocessing, model training and testing, at the following url: 
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As a software engineer, I do not possess medical expertise and I am seeking collaboration with medical professionals and AI/ML researchers. You can find the project source code, which includes data preprocessing, model training and testing, at the following url: 
https://github.com/ethicalabs-ai/SkinCancerViT/tree/main
https://github.com/ethicalabs-ai/SkinCancerViT/tree/main
link
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Thank you for your time and consideration!!!
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Thank you for your time and consideration!!!
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Hello Hugging Face Community! I'm excited to share a project I've been working on: SkinCancerViT, a multimodal Vision Transformer model for skin lesion analysis https://huggingface.co/ethicalabs/SkinCancerViT 

I've wrapped it in a Gradio app to make it easy to explore: https://huggingface.co/spaces/ethicalabs/SkinCancerViTPredictor

This app is a research demonstration that combines dermatoscopic images with patient age and lesion localization to assist in classifying skin lesions.
You can either upload your own image and patient data for a prediction, or explore how the model performs on random samples from the https://huggingface.co/datasets/marmal88/skin_cancer dataset.

I firmly believe that the only final, trustworthy diagnosis comes from medical professionals, and I am actively seeking medical institutions and researchers who might be interested in partnering with me to further explore the usage of this methodology, conducting further training with diverse datasets (ethically sourced and anonymized), performing extensive validation tests, and explore the possibility of running a federated fine-tuning simulation with https://flower.ai/

As a software engineer, I do not possess medical expertise and I am seeking collaboration with medical professionals and AI/ML researchers. You can find the project source code, which includes data preprocessing, model training and testing, at the following url: https://github.com/ethicalabs-ai/SkinCancerViT/tree/main

Thank you for your time and consideration!!!

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Dcas89 Wilfriedk toxibunny John6666 WilliamLindskog victor reyrove
66febbf898f30194f8b73451
https://cdn-avatars.huggingface.co/v1/production/uploads/66febbf898f30194f8b73451/b8NrAI3tlWXYw6VMOVHc7.jpeg
Massimo Roberto Scamarcia
mrs83
user