skin-cancer-detection

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.

Build a CNN based model which can accurately detect melanoma

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

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.

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

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.

ONCO is a cancer diagnosis/prognosis mobile application focused on the 3 main cancers of the thoracic region (Breast, Lung & Skin)

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.

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

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

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

Skin lesion classification, using Keras and the ISIC 2020 dataset

We attempt to change how you look at Medical Diagnosis

Implementing and comparing ResNet50 and MobileNetV2 transfer learning models using the MNIST:HAM10000 image dataset. Resulting classification accuracy of ~90%.

🏥 AI-powered multi-disease early detection platform | Brain Tumor · Diabetic Retinopathy · Skin Cancer | PyTorch · FastAPI · React · Grad-CAM | B.Tech Major Project

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

A mobile skin cancer detection application that won an international price of $10,000

A full-stack SaaS platform for hosting and monetizing medical AI models. It features a complete credit-based payment system (Razorpay), JWT/OAuth2 authentication, a full admin dashboard, and an LLM-powered assistant. The platform is live with its first two models for clinical diagnostics.