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

nel_h2
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To 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