Automatic Medical Image Segmentation with U-Net & U-Net++
Advanced deep learning for medical MRI segmentation using U-Net and U-Net++ on placenta and brain tumor datasets.
A showcase of backend systems and full-stack applications built with Spring Boot—demonstrating clean architecture, integration with databases and cloud services, and a focus on solving complex operational challenges in supply chain and beyond.
Advanced deep learning for medical MRI segmentation using U-Net and U-Net++ on placenta and brain tumor datasets.
A Java Spring Boot blog with secure login, role-based access, and rich text editing, hosted on AWS EC2 via Docker.
Analyzed TheLook’s supply chain using SQL & Python. Built KPIs for delivery, inventory, and sales to optimize logistics ...
Advanced deep learning for medical MRI segmentation using U-Net and U-Net++ on placenta and brain tumor datasets.
A Java Spring Boot blog with secure login, role-based access, and rich text editing, hosted on AWS EC2 via Docker.
Analyzed TheLook’s supply chain using SQL & Python. Built KPIs for delivery, inventory, and sales to optimize logistics and boost ...
Created Tableau dashboard for supply chain analytics, enabling data-driven process optimization.