MoleCare/MoleCare-ML

Add HTTP-level tests for the API endpoints about 7 hours ago

help wanted good first issue

2

TensorFlow melanoma classification service behind the MoleCare skin-health apps — Flask serving, CNN transfer-learning notebooks (Xception, InceptionV3, DenseNet201, EfficientNet) trained on ISIC Archive data. Not a medical device.

Jupyter Notebook

#cnn#computer-vision#convolutional-neural-networks#deep-learning#dermatology#flask#healthcare#image-classification#isic#keras#machine-learning#medical-imaging#melanoma#mlops#model-serving#python#skin-cancer#tensorflow#transfer-learning

Modernise dependencies: Pipfile.lock is the source of 210 Dependabot alerts about 7 hours ago

help wanted dependencies

MoleCare/MoleCare-ML

2

TensorFlow melanoma classification service behind the MoleCare skin-health apps — Flask serving, CNN transfer-learning notebooks (Xception, InceptionV3, DenseNet201, EfficientNet) trained on ISIC Archive data. Not a medical device.

Jupyter Notebook

#cnn#computer-vision#convolutional-neural-networks#deep-learning#dermatology#flask#healthcare#image-classification#isic#keras#machine-learning#medical-imaging#melanoma#mlops#model-serving#python#skin-cancer#tensorflow#transfer-learning

Document the API response schemas in ml_model_serving/ about 7 hours ago

documentation good first issue

MoleCare/MoleCare-ML

2

TensorFlow melanoma classification service behind the MoleCare skin-health apps — Flask serving, CNN transfer-learning notebooks (Xception, InceptionV3, DenseNet201, EfficientNet) trained on ISIC Archive data. Not a medical device.

Jupyter Notebook

#cnn#computer-vision#convolutional-neural-networks#deep-learning#dermatology#flask#healthcare#image-classification#isic#keras#machine-learning#medical-imaging#melanoma#mlops#model-serving#python#skin-cancer#tensorflow#transfer-learning

Evaluate model performance across Fitzpatrick skin types about 7 hours ago

help wanted bias-evaluation

MoleCare/MoleCare-ML

2

TensorFlow melanoma classification service behind the MoleCare skin-health apps — Flask serving, CNN transfer-learning notebooks (Xception, InceptionV3, DenseNet201, EfficientNet) trained on ISIC Archive data. Not a medical device.

Jupyter Notebook

#cnn#computer-vision#convolutional-neural-networks#deep-learning#dermatology#flask#healthcare#image-classification#isic#keras#machine-learning#medical-imaging#melanoma#mlops#model-serving#python#skin-cancer#tensorflow#transfer-learning

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