Usage of AI in Medical Diagnosis
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Updated
May 8, 2020 - Jupyter Notebook
Usage of AI in Medical Diagnosis
[Coursera] AI for Medicine Specialization by "deeplearning.ai".
All my solutions for AI for Medicine specialization by deeplearning.ai on Coursera
I have completed this specialization from Coursera by deeplearning.ai. I have uploaded the solutions of the assignments in this repo.
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.
AI for Medicine Specialization - Coursera offered by deeplearning.ai
Contains detailed notes, codes, answers to quizzes and exercises of all the 3 courses of the AI for Medicine specialization, by deeplearning.ai
My assignment soultions to the AI for Medicine Specialization course from coursera
My solutions to Quizzes and Programming Assignments of the specialization.
This repository includes all projects of the AI for Medicine Specialization offered by deepleearning.ai and taught by Pranav Rajpurkar.
U-Net from Scratch for Brain Tumor Segmentation
Online Specialization "AI for Medidicne" : it contains my solutions to the programming assignment
This repo contains my assignment solutions of AI for Medicine Specialization on Coursera
Unveiling the Tremors, A Reliable Algorithm with 83% Accuracy for Detecting Parkinson's Disease through Spiral/Wave Sketch Images.
[ACIIDS 2024] DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis
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