Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.

A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.

Skin Cancer Detection Web App using Flask Framework deployed on the Heroku server.

Build a CNN based model which can accurately detect melanoma

🎗 This is an Android app to detect melanoma skin cancer using tensorflow mobile.

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.

A Web Application that uses Computer Vision and Deep Learning to identify the three highest probability diagnoses for a skin lesion image input by the User.

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)

We attempt to change how you look at Medical Diagnosis

This app contains and skin cancer android app whose model is created using transfer learning with inception_v3

Multiclass skin cancer detection using explainable AI for checking the models' robustness

Skin lesion classification, using Keras and the ISIC 2020 dataset

Skin Cancer Detection project is a web application developed to detect skin cancer utilizing deep learning techniques.

This repository contains Python code for generating a skin cancer detection model and utilizing it to detect skin cancer from user-inputted images or videos. The model architecture follows a sequential structure consisting of convolutional and pooling layers, with the final output layer using a sigmoid activation function.

Pretraining and finetuning different vision transformer models on the ImageNet and Ham10000 dataset

A web app to detect Skin cancer using pictures of moles and other marks on skin

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