ham10000

PyTorch code to reproduce the key experiments and results presented in the paper: ELMAGIC: Energy-Efficient Lean Model for Reliable Medical Image Generation and Classification Using Forward Forward Algorithm.

medical-image-processing pytorch-implementation ham10000 odir-5k

UpdatedJan 28, 2025
Python

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

Star8

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

deep-learning cnn explainable-ai ham10000 skin-cancer-detection

UpdatedMay 27, 2024
Jupyter Notebook

kakumarabhishek /Corrected-Skin-Image-Datasets

Star5

Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets

benchmark deep-learning pytorch medical-imaging mnist classification datasets medical-image-computing dermatology data-quality fitzpatrick computer-aided-diagnosis data-leakage melanoma-detection ham10000 skin-disease-classifiction medmnist data-duplication

UpdatedFeb 13, 2025
Jupyter Notebook

msthoma /LesionDetector

Star4

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

app machine-learning computer-vision tensorflow convolutional-neural-network mobilenetv2 mobilenet-v2 flutter-app ham10000 skin-cancer-detection

UpdatedApr 13, 2021
Dart

shobhitsinha-A /Artificial-Intelligence-Project

Star3

This is a project that I worked on with my colleagues in the 6th Semester of my B.tech. In this project, we present a fully automatic method for skin lesion segmentation by leveraging UNet and FCN that is trained end to-end. For Skin lesion disease classification, we use a customized convolutional neural net. Designing a novel loss function base…

python deep-learning cnn pytorch segmentation fcn image-segmentation unet-image-segmentation ham10000 ph2

UpdatedMay 24, 2021
Jupyter Notebook

msthoma /HAM10000_ConvNet

Star3

Convolutional neural network capable of identifying skin lesions (based on the skin lesion image data set HAM10000).

tensorflow keras convnet convolutional-neural-network cancer-detection ham10000

UpdatedMar 11, 2025
Jupyter Notebook

h-ssiqueira /SkinLesionAI

Sponsor

Star3

Notebooks of pre trained models using the HAM10000 dataset

python machine-learning deep-learning sqlite cnn segmentation transfer-learning gans fine-tuning melanoma skin-cancer jupiter-notebook xception colab-notebook skin-lesion-classification data-aug ham10000 vision-transformer convnext resnetv2

UpdatedFeb 28, 2024
Jupyter Notebook

SpyrosAlvanakis /DNN_Ham10000

Star2

HAM10000 image dataset classification using Pytorch and Scikit Learn

scikit-learn transfer-learning pretrained-models pytorch-cnn skin-lesion-classification ham10000

UpdatedMar 6, 2024
Jupyter Notebook

Otatoess /HAM-skincancer

Star2

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.

tensorflow cancer-imaging-research cancer-detection cnn-classification skin-cancer multiclass-image-classification ham10000

UpdatedJul 27, 2024
Python

SCASTELLANO6044 /TFT-AI

Star2

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%. 🚀🚀

deep-learning cnn image-classification cnn-classification ham10000 skin-cancer-detection skin-cancer-classification

UpdatedMay 19, 2024
Python

amir-not2005 /dermamarker

Star1

Website for Skin cancer detection based on HAM10000 | Dropbox Integration

website dropbox-api vgg16-model ham10000

UpdatedOct 5, 2024
CSS

ADITYAVOFFICIAL /Skin-Disease-Classifier

Star1

Discover DermaScan: A full-stack web app with MobileNetV2-based skin lesion classifier using Harvard's Ham10000 Dataset for precise dermatological diagnosis.

skin cancer classification artificial-neural-networks hacktoberfest cnn-keras ham10000 hacktoberfest-accepted hacktoberfest2023 smartindiahackathon2023

UpdatedApr 7, 2024
Jupyter Notebook

Mousteph /Skin_disease

Star0

This project is designed for classifying various skin diseases using the HAM10000 dataset. It leverages a trained model, explains predictions using LIME, and provides multiple interfaces for users, including a server, a graphical user interface, a command-line interface, and an API.

machine-learning computer-vision ham10000