GitHub topics: skin-cancer-detection

Repositories

ethicalabs-ai/SkinCancerViT

A Multimodal Deep Learning Approach for Skin Cancer Classification using ViTs (Visual Transformers)

Language: Python - Size: 655 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

sandip-mondal-0248/SkinCan-ModelAPI

SkinCan-ModelAPI is the backend for the SkinCan app. It includes deep learning model training and a REST API for classifying skin lesions as benign or malignant.

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

PLtier/Skin-Cancer-Detection Fork of kjaer5555/mdasm-2024

Skin cancer detection with ML methods (no NN).

Language: Python - Size: 1.78 GB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

uts58/yolov8-ham10000

Skin cancer detection using yolov8 on HAM10000 dataset

Language: Python - Size: 275 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

malbhagemahesh/Skin-Cancer-Detection-CNN

A CNN-based model to detect skin cancer from dermatoscopic images.

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ashishpatel26/Skin-Lesions-Detection-Deep-learning

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

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 72 - Forks: 31

ahmed-226/Skin-Cancer-Detection

A computer vision and machine learning pipeline for automatic skin cancer detection from dermoscopic images. Achieves high accuracy using traditional ML techniques with preprocessing, feature extraction, and ensemble learning.

Language: Jupyter Notebook - Size: 25.1 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 2

Phonkerxcc/Skin-Lesion-Detection

Skin Lesion Detection Using Convolutional Neural Network

Language: Jupyter Notebook - Size: 181 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Nazgulitos/xai-GradCAMPlusPlus Fork of IU-PR/xai

Implementation of the GradCam++ method and predictions explanation of the ResNet50 model on Skin Cancer MNIST dataset.

Language: JavaScript - Size: 447 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Varun-Kumar-Code/UI-UX-Designs

Discover a showcase of attractive UI/UX designs that highlight creative, responsive, and dynamic interfaces for both web and mobile applications. These designs are meticulously crafted to ensure seamless digital experiences, enhancing user engagement and satisfaction.

Size: 3.04 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Siddhesh-Agarwal/Skin-Cancer-Detection

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

Language: Python - Size: 39.9 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 2

Sealonk/skin-cancer-detection-backend

Backend server for skin cancer detection using TensorFlow.js and Firestore for storing predictions.

Language: JavaScript - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

GLGL0x00/skin_cancer_detection

A machine learning project that predicts skin cancer risk by analyzing lesion images and patient metadata. The system combines image and structured data processing to enhance diagnostic accuracy.

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

yayuniversal/skin-lesion-classification

Skin lesion classification, using Keras and the ISIC 2020 dataset

Language: Python - Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

kshitij-raj/Melanoma-Skin-Cancer-Detection

Build a CNN based model which can accurately detect melanoma

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: 9 months ago - Pushed at: almost 4 years ago - Stars: 21 - Forks: 22

srosalino/Deep_Learning_for_Skin_Disease_Identification

Enhancing Diagnostic Accuracy with AI: Advanced Image Analysis for Skin Disease Identification

Size: 35.2 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 376 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

saeid436/DASC5420-FinalProject

This is for Final Project of Theoretical Machine Learning Course...

Language: Jupyter Notebook - Size: 4.97 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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%. 🚀🚀

Language: Python - Size: 49.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

karantolani/skin-cancer-detection

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

Language: JavaScript - Size: 28.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

azwad-tamir/Transfer_ViT

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

Language: Python - Size: 43 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

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

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

Language: Jupyter Notebook - Size: 6.54 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 4

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.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

munas-git/Skin-Cancer-Detection

A skin cancer prediction convolutional deep-learning model.

Language: Jupyter Notebook - Size: 8.65 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

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.

Language: Python - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2

hassanejazul786/SkinCancerDetection-WebApp

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

Language: Python - Size: 64.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 19 - Forks: 7

anirudhkaushik2003/Skin-Cancer-Experiments

Exploring the effects of class ordering on model performance to gain insight into optimal task ordering for devising a curriculum for continual learning

Language: Jupyter Notebook - Size: 6.92 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 102 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 3

arnabuchiha/SkinSense

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

Language: Java - Size: 92.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 19 - Forks: 5

atharvapathak/Melanoma_Detection_Case_Study

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

Language: Jupyter Notebook - Size: 808 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

temcavanagh/Skin-Cancer-Detection

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

Language: Jupyter Notebook - Size: 169 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2

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.

Language: Jupyter Notebook - Size: 13 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0