Skin Cancer Detection & Classification using Machine Learning, CNN & Transfer Learning

CNN classifier of skin cancer using Pytorch

Skin cancer can be broadly classified into two major categories: Melanoma (Malignant) and non-melanoma (Benign). Melanoma is one of the deadliest kinds of cancer. However, the detection of this cancer at an early stage can help in improving the chances of survival.

🏥 ISIC - Skin Cancer 🔎 Exploratoy Data Analysis

Code for competition

Implements a Convolutional Neural Network (CNN) model to detect skin cancer from images. Using the PAD-UFES-20 dataset from Brazil. The aim is to contribute to early skin cancer detection and prevention efforts worldwide.

Computer Vision Take Home Project

SkinNets is a multi-model classifier aimed at simplifying skin cancer diagnoses more so with the invasive and life threatening types like Melanomas. This applies a Mask R-CNN for feature extraction and XGBoost for the final classification.

This repository contains a deep learning model for skin cancer classification using the InceptionV3 architecture. The model was trained on the HAM10000 dataset and is designed with computational efficiency in mind. It was developed to be able to run on a CPU.

This repository was made as my Final Project for NVIDIA's Jetson Nano course

ISIC Challenge submission platform.

Recognizing and localizing melanoma from other skin disease

[MICCAI ISIC 2024] Code for "Lesion Elevation Prediction from Skin Images Improves Diagnosis"

The official command line tool for interacting with the ISIC Archive.

Training CNN model and its deployment on the Web using Flask.

Our cutting-edge application harnesses the power of deep learning and computer vision to analyze skin images and predict potential diseases with remarkable accuracy of 71%.

A web application using Django that allows users to submit skin photos for in-depth analysis. As of right now, it consists of a general classification model for different skin cancer diseases as well as a custom image segmentation model using machine learning to precisely generate a mask for melanoma, a particular kind of skin cancer.

Skin Cancer Detection Assignment

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

Skin cancer prediction application with multiple pre-trained models