Contra - A professional network for the jobs and skills of the futureDeep Learning System for Red Blood Cell Morphology Analysis
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Designed and developed an end-to-end deep learning system for the automated analysis of red blood cells from image data. The primary objective was the accurate estimation of critical biophysical parameters, such as cell diameter and minimum/maximum thickness, based on complex morphological features. Architecting and training custom Convolutional Neural Networks (CNNs) and Denoising Autoencoders to process grayscale image patches and extract structural data.
Implementing Explainable AI (XAI) techniques, including Class Activation Mapping (CAM) and heatmaps, to interpret model decisions and verify that the network focused on the correct geometrical boundaries.
Bridging the gap between computer vision and medical imaging by providing robust, data-driven parameter estimation.
Tech Stack & Tools: Python, PyTorch, Deep Learning, Computer Vision, Explainable AI (XAI), Docker, Linux
Post image
Post image
Post image
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started