ai-for-medical-diagnosis

AI for Medicine Specialization - Coursera offered by deeplearning.ai

[Coursera] AI for Medicine Specialization by "deeplearning.ai".

Computer Vision

My solutions to Quizzes and Programming Assignments of the specialization.

This repo contains my assignment solutions of AI for Medicine Specialization on Coursera

I have completed this specialization from Coursera by deeplearning.ai. I have uploaded the solutions of the assignments in this repo.

Unveiling the Tremors, A Reliable Algorithm with 83% Accuracy for Detecting Parkinson's Disease through Spiral/Wave Sketch Images.

Contains detailed notes, codes, answers to quizzes and exercises of all the 3 courses of the AI for Medicine specialization, by deeplearning.ai

This repository includes all projects of the AI for Medicine Specialization offered by deepleearning.ai and taught by Pranav Rajpurkar.

All my solutions for AI for Medicine specialization by deeplearning.ai on Coursera

Dr Eye: automatic retinopathy detection system

U-Net from Scratch for Brain Tumor Segmentation

This project focuses on detection and segmentation of liver cancer in WSI using parallel processing on GPU and used techniques of pruning to improve and optimize my model. The baseline of the model is Unet and Vnet. Further the model has been upgraded with a ResNet backbone and model pruning technique were also applied.

Online Specialization "AI for Medidicne" : it contains my solutions to the programming assignment

Solved programming assignments from the Coursera AI for Medicine specialization offered by deeplearning.ai

[ACIIDS 2024] DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis

A deep learning project to classify Pneumonia vs Normal from chest X-ray images using CNNs. Based on the "Chest X-Ray Images (Pneumonia)" dataset from Kaggle with structured train/val/test splits and two class labels. Built for fast prototyping and clean deployment.

Usage of AI in Medical Diagnosis