An implementation of the paper Brain2Qwerty that translates brain EEG data into text for reading people's brains. There was no code so we made an implementation

Welcome to the official repository of D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms. This repository hosts the source code, pre-trained model weights, and benchmark dataset RSNA-BSD1K, supporting research in cross-domain breast cancer detection using transformer-based techniques.

Skin Diseases Detection System

This deep learning model detects eye diseases using CNNs. Trained on an image dataset, it predicts conditions with high accuracy. Ideal for AI-driven medical diagnosis!

A deep learning model for classifying eye diseases using Convolutional Neural Networks (CNNs). Built with TensorFlow and Keras, trained on a medical eye dataset for accurate multi-class classification and analysis.

Deep learning model for brain tumor classification using MRI images. Built with TensorFlow, Keras, and OpenCV, trained on CNN architecture, and optimized with Adam. 🎯🔥

This repository presents an efficient approach for fine-tuning large language models for the medical domain using 4-bit quantization and LoRA techniques.

Deep learning model for brain cancer detection using CNN architecture. Trained on multi-class MRI data with ImageDataGenerator and optimized with Adam

SEHAT is an interactive Predictive Health Application using Streamlit and machine learning models to forecast diabetes and heart disease risks based on user health parameters. Enhance your health awareness with immediate insights and proactive management tools.