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skin-cancer-HAM10k
bsenst/skin-cancer-HAM10k
skin-cancer-HAM10k is a machine learning model from bsenst. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as openrail.
Disclaimer: This work is part of an educational project. It is not intended for clinical application. As such it can not make real world predictions for skin lesions. To get recommendations regarding skin lesions one…
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At a glance
- License
- openrail
- Access
- Public
- Created
- Nov 22, 2022
- Updated
- Nov 23, 2022
- SHA
- 350f849d
Model card
From the Hugging Face model README
Disclaimer: This work is part of an educational project. It is not intended for clinical application. As such it can not make real world predictions for skin lesions. To get recommendations regarding skin lesions one should ask for expert advice such as provided by a dermatologist.
The model (xception_v4_1_07_0.699.h5) was trained as described in this kaggle notebook: https://www.kaggle.com/bnzn261029/capstone1-ham10k-skincancer
The code repository on github: https://github.com/bsenst/capstone1-skin-lesion-classifier
The dataset on kaggle: https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000
The gradio app on huggingface spaces: https://huggingface.co/spaces/bsenst/keras-image-classifier
| Layer (type) | Output Shape | Param |
|---|---|---|
| input_2 (InputLayer) | [(None, 150, 150, 3)] | 0 |
| xception (Functional) | (None, 5, 5, 2048) | 20861480 |
| global_average_pooling2d (GlobalAveragePooling2D) | (None, 2048) | 0 |
| dense (Dense) | (None, 7) | 14343 |
| Total params: 20,875,823 | ||
| Trainable params: 14,343 | ||
| Non-trainable params: 20,861,480 |
- License
- openrail
- Created
- Nov 22, 2022
- Updated
- Nov 23, 2022