Brain-Tumor-Segmentation-And-Classification
MONAILabel
Brain-Tumor-Segmentation-And-Classification | MONAILabel | |
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3 | 1 | |
18 | 541 | |
- | 2.6% | |
3.0 | 7.8 | |
9 months ago | 8 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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Brain-Tumor-Segmentation-And-Classification
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Brain Tumor Segmentation and Classification using ResUnet.
Source code: Github
- Github project showcase: Brain Tumor Segmentation and Classification using ResUnet.
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Brain Tumor Segmentation and Classification using deep learning.
GitHub repo : Brain Tumor Segmentation and Classification
MONAILabel
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[D] Need to find a good self-hosted medical image annotation tool.
I've also found MONAILabel(https://github.com/Project-MONAI/MONAILabel), but it apparently requires GPU which makes it really expensive. I'd rather find a cpu based solution because our task is not that complex. We only get some Dicom files (each have studies in them), and want to label them.
What are some alternatives?
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.
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.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
SlicerTomoSAM - An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.
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
mammography_metarepository - Meta-repository of screening mammography classifiers
FedCV - FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks
Active-Learning-as-a-Service - A scalable & efficient active learning/data selection system for everyone.
small-text - Active Learning for Text Classification in Python