Spheroid_segmentation download

To accelerate the analysis of tumors' spheroids, different deep learning networks were trained to automatize the segmentation process.
The code provides the trained networks based on Vgg16, Vgg19, ResNet18, and ResNet50 ready to be used for segmentation purposes.
It also provides Matlab functions ready to be used to train new networks, segment new images, and measure the quality of the training using different quantitative parameters.

Features

Matlab
Spheroids
Segmentation

Project Samples

Project Activity

See All Activity >

License

GNU Free Documentation License

Follow Spheroid_segmentation

Spheroid_segmentation Web Site

Other Useful Business Software

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Spheroid_segmentation!

Additional Project Details

Operating Systems

Windows

Intended Audience

Science/Research

Programming Language

MATLAB

Related Categories

MATLAB Machine Learning Software, MATLAB Deep Learning Frameworks

Registered

2022-09-13

Similar Business Software

Google Cloud BigQuery

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely...

See Software
Gemini Enterprise Agent Platform

Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and...

See Software
Google Cloud Speech-to-Text

Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech...

See Software
Runpod

Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports...

See Software
Google AI Studio

Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to...

See Software
Fraud.net

Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks. Our unified solutions:...

See Software