Brain-Tumor-Segmentation-And-Classification VS FedCV

Compare Brain-Tumor-Segmentation-And-Classification vs FedCV and see what are their differences.

Brain-Tumor-Segmentation-And-Classification

Brain Tumor Segmentation And Classification using artificial intelligence (by Rohith04MVK)
Segmentation image-segmentation Deep Learning medical-imaging HacktoberFest resunet
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FedCV

FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks (by FedML-AI)
Computer Vision federated-learning image-segmentation medical-imaging object-detection image-classifiation
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Brain-Tumor-Segmentation-And-Classification FedCV
3 2
18 62
- -
3.0 2.7
9 months ago almost 2 years ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Brain-Tumor-Segmentation-And-Classification

Posts with mentions or reviews of Brain-Tumor-Segmentation-And-Classification. We have used some of these posts to build our list of alternatives and similar projects.

FedCV

Posts with mentions or reviews of FedCV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-24.

What are some alternatives?

When comparing Brain-Tumor-Segmentation-And-Classification and FedCV you can also consider the following projects:

dipy - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Brain-Tumor-Segmentation-And-Classification vs dipy Brain-Tumor-Segmentation-And-Classification vs caer Brain-Tumor-Segmentation-And-Classification vs MONAILabel Brain-Tumor-Segmentation-And-Classification vs medicaldetectiontoolkit Brain-Tumor-Segmentation-And-Classification vs albumentations