Brain-Tumor-Segmentation-And-Classification Alternatives

Similar projects and alternatives to Brain-Tumor-Segmentation-And-Classification based on common topics and language

• dipy

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  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

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

• WorkOS

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• MONAILabel

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

  

• medicaldetectiontoolkit

  2 1,266 0.0 Python Brain-Tumor-Segmentation-And-Classification VS 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

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  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

  

• FedCV

  2 62 2.7 Python Brain-Tumor-Segmentation-And-Classification VS FedCV

  FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks