A mobile skin cancer detection application that won an international price of $10,000
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Updated
Jan 8, 2020 - Jupyter Notebook
A mobile skin cancer detection application that won an international price of $10,000
Predict your diseases based on the symptoms provided And Image Processing technique is used to predict the skin cancer
This app contains and skin cancer android app whose model is created using transfer learning with inception_v3
🎗 This is an Android app to detect melanoma skin cancer using tensorflow mobile.
This project reach to create an application that allows to detect if a spot on the skin is carcinogenic using different pattern recognition techniques to identify the main characteristics of the spot.
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
3-layered approach to detecting cancer, melanoma and allergies with state-of-the-art Tensorflow models, integrated into an app with exciting features using Flutter Android development framework.
Cross-platform smartphone app capable of detecting skin cancer lesions using Computer Vision.
Skin Lesion Classifier: a skin lesion analysis towards melanoma detection.
Build a CNN based model which can accurately detect melanoma
Explainable AI (XAI) project aiming to show undesired bias in skin cancer predictions models trained on the ISIC dataset
Implementing and comparing ResNet50 and MobileNetV2 transfer learning models using the MNIST:HAM10000 image dataset. Resulting classification accuracy of ~90%.
Skin cancer detection using CNNs on custom Kaggle dataset.
Pretraining and finetuning different vision transformer models on the ImageNet and Ham10000 dataset
The dataset consists of 10015 dermatoscopic images which can serve as a training set for academic machine learning purposes. The objective to build deep learning model to classify given query image into one of the 7 different classes of skin cancer.
ONCO is a cancer diagnosis/prognosis mobile application focused on the 3 main cancers of the thoracic region (Breast, Lung & Skin)
Skin Cancer Detection Web App using Flask Framework deployed on the Heroku server.
A libre skin cancer detection app
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