- medicaldetectiontoolkit VS nnUNet
- medicaldetectiontoolkit VS mmdetection3d
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- medicaldetectiontoolkit VS BlenderProc
- medicaldetectiontoolkit VS MONAILabel
- medicaldetectiontoolkit VS PaddleDetection
- medicaldetectiontoolkit VS BCNet
- medicaldetectiontoolkit VS mammography_metarepository
- medicaldetectiontoolkit VS albumentations
- medicaldetectiontoolkit VS PaddleViT
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medicaldetectiontoolkit reviews and mentions
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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.
Stats
MIC-DKFZ/medicaldetectiontoolkit is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of medicaldetectiontoolkit is Python.
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