Assignment codes for CS736 Algorithms for Medical Image Processing.
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Updated
Aug 10, 2016 - HTML
Assignment codes for CS736 Algorithms for Medical Image Processing.
Rajasthan Hackathon 3.0 Project on Artificial intelligence
Use of kmeans segmentation algorithm to classify dermis, epidermis and tumor infiltration.
Counting cells in a blood smear using convolution as the pattern matching strategy
Semester 1 | HTML & Python Project
Projects for Udacity Deep Learning Nanodegree Program: CNN, RNN, GANs
Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning
Health AI
A registration-based segmentation pipeline for human mandible extraction from CT images
MedTech is a website where with the help of highly accurate ML models users can test if they have Melanoma Skin Cancer. Users can also create profiles and save their data in an encrypted format.
AI-DOC is a medical application. Developed to assist the doctors and the individual patients to comprehend the laboratory data to infer whether the person is suffering from a particular disease or not. Many diseases are analysed in this medical application more diseases would be added later. The application uses multiple machine learning and dee…
Pediatric pneumonia image classification with (strongly) imbalanced data via Pytorch 🫁
The main objective of this project was to implement a web application for dermatological patients to keep track of their skin health and help them make early detection of skin cancer. One of the areas with the greatest potential impact was the contribution that web applications can reduce the communication gap between dermatological patients wit…
Diagnosis system for identifying Tinea based skin infection using deep learning
Flask-based web application for MRI brain tumor classification using a Convolutional Neural Network. Features include model training analysis and real-time image classification.
Website for data science undergraduate capstone project "Improving Performance of Vision Encoding Large Language Models with Contextual Prompts" @UCSD HDSI 2024
App handles GUI creation and image processing from DICOM files. Built using the PyQt5 library, it facilitates an interface with buttons and functions
Personal resume website built by using Python Django, NodeJS/Express framework, Go Gin framework, Java spring boot, spring security, JWT, and MongoDB. Terraform / Ansible leveraged in its deployment. EKS monitoring by Grafana/Prometheus sample provided.
Website for the myriad team of the CREATIS laboratory
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