medicaldetectiontoolkit
mammography_metarepository
medicaldetectiontoolkit | mammography_metarepository | |
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2 | 2 | |
1,269 | 60 | |
0.6% | - | |
0.0 | 0.0 | |
about 1 month ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | BSD 2-clause "Simplified" License |
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medicaldetectiontoolkit
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3D rcnn
Checkout https://github.com/MIC-DKFZ/medicaldetectiontoolkit, they have a recent 3d rcnn implementation. Their paper is a good start on the topic. Also have a look at nnDetection from the same group, it might provide some more leads. Hth
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3D Faster R-CNN for microscopy image analysis
I'm doing research in the area of biomedical image processing using deep learning. At the moment, I'm focused in the detection of biological structures in 3D microscopy images. For this task I trained a Faster R-CNN architecture, however I noticed that while the training loss is decreasing the validation loss is high, doesn't decrease and sometimes oscillates. When I looked at the results, the bounding boxes in the training and validation sets were too small but located at random spots. At first I thought that I should adjust the size of the anchors, however, even after trying different anchor sizes the results didn't improve. I would like to know if anyone has experience in working with 3D Faster R-CNN that could help me with suggestions for this project. (btw, I'm using the code available in this repo). Thanks in advance.
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
What are some alternatives?
nnUNet
huggingface_hub - The official Python client for the Huggingface Hub.
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
raiven - A framework for the translation of AI tools to the radiology environment
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
torchio - Medical imaging toolkit for deep learning
Phantom - Effective DICOM anonymization in Python
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
jina - ☁️ Build multimodal AI applications with cloud-native stack