skin-cancer-detection

RiturajSaha/Health-Discernment-System

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.

hassanejazul786/SkinCancerDetection-WebApp

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

arnabuchiha/SkinSense

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

dijorajsenroy/skin-cancer-detection-app

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.

kshitij-raj/Melanoma-Skin-Cancer-Detection

Build a CNN based model which can accurately detect melanoma

indrapaul824/skin-cancer-detector

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.

Ammar-Raneez/ONCO

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

mittshah2/Skin-Disease-Prediction-Web-Application

We attempt to change how you look at Medical Diagnosis

charanhu/Skin_Cancer_Detection_MNIST

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.

syed-hamza/Skin-Cancer-Android-App

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

lilianmallardeau/Skin-lesion-classification

Skin lesion classification, using Keras and the ISIC 2020 dataset

azwad-tamir/Transfer_ViT

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

sid321axn/Skin_Cancer_Detection_Transfer_Learning

adubowski/shortcuts-skin-cancer

Explainable AI (XAI) project aiming to show undesired bias in skin cancer predictions models trained on the ISIC dataset

ahmadhuzaifa/skinskan

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

Faysal-MD/An-Interpretable-Deep-Learning-Approach-for-Skin-Cancer-Categorization-IEEE2023

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

kumar-rishav3101/Health-Predictor

Predict your diseases based on the symptoms provided And Image Processing technique is used to predict the skin cancer

msthoma/LesionDetector

Cross-platform smartphone app capable of detecting skin cancer lesions using Computer Vision.

temcavanagh/Skin-Cancer-Detection

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

deepankarvarma/Skin-Cancer-Detection--OpenCV-TensorFlow-Keras

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.

fbasatemur/Classificaton_of_Skin_Cancer_with_CNN

karantolani/skin-cancer-detection

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

munas-git/Skin-Cancer-Detection

A skin cancer prediction convolutional deep-learning model.

SCASTELLANO6044/TFT-AI

This project uses TensorFlow to implement a Convolutional Neural Network (CNN) for image classification. The goal is to classify skin lesion images into different categories. The dataset used is HAM10000, which contains skin lesion images with associated metadata. The actual accuracy of the model is 90%. 🚀🚀

SkinCanOrg/SkinCan

A libre skin cancer detection app

syedissambukhari/skin-cancer-detection-using-ddi-dataset

A Convolutional neural network (CNN)model to train and detect skin cancer (benign and malignant) disease using DDI(Diverse Dermatology Images)Dataset.

FilipePires98/SkinLesionClassifier

Skin Lesion Classifier: a skin lesion analysis towards melanoma detection.

johnny-brav0/Skin-Cancer-Detector-using-CNN

Skin cancer detection using CNNs on custom Kaggle dataset.

MariemBenCharrada/Project-Dermatologist-AI

Skin Cancer Classification

shahdhairya51/skin-cancer-classification

Siddhesh-Agarwal/Skin-Cancer-Detection

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

atharvapathak/Melanoma_Detection_Case_Study

Creating a possible model to detect melanoma from the dataset accurately using CNN.

farihaSultana1204/Skin-Cancer-Detection-Using-Hybrid-Model

Skin Cancer Detection: Leveraging Hybrid Deep Learning Models and Traditional Machine Learning Classifiers

kaledhoshme123/Determine-the-location-of-the-skin-lesion-spread

Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.

SushmithaS7/Melanoma-Skin-Cancer-Detection

This model aims to leverage the power of machine learning and deep learning techniques to accurately detect melanoma, a serious type of skin cancer, from skin lesion images.