mammography_metarepository
MONAILabel
| mammography_metarepository | MONAILabel | |
|---|---|---|
| 2 | 1 | |
| 60 | 542 | |
| - | 2.8% | |
| 0.0 | 7.9 | |
| over 1 year ago | 6 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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mammography_metarepository
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[R] Meta-repository of mammography classifiers
Code for https://arxiv.org/abs/2108.04800 found: https://www.github.com/nyukat/mammography_metarepository
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?
huggingface_hub - The official Python client for the Huggingface Hub.
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.
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
raiven - A framework for the translation of AI tools to the radiology environment
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.
torchio - Medical imaging toolkit for deep learning
Active-Learning-as-a-Service - A scalable & efficient active learning/data selection system for everyone.
Phantom - Effective DICOM anonymization in Python
Brain-Tumor-Segmentation-And-Classification - Brain Tumor Segmentation And Classification using artificial intelligence
jina - ☁️ Build multimodal AI applications with cloud-native stack
small-text - Active Learning for Text Classification in Python