BCDU-Net
medicaldetectiontoolkit
| BCDU-Net | medicaldetectiontoolkit | |
|---|---|---|
| 1 | 2 | |
| 676 | 1,269 | |
| - | 0.6% | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 month ago | |
| Python | Python | |
| - | Apache License 2.0 |
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BCDU-Net
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[D] Extensions to U-nets
I compared a U-net, BCDU-net, and a U2-net for glacier semantic segmentation which is a pretty easy task. I don't still have the exact numbers, but U2-net was the best. I've also used a U2-net to map geologic structures which is a lot harder and the U2-net did well there too.
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.
What are some alternatives?
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
nnUNet
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
GlacierSemanticSegmentation - Identify glaciers in satellite images with a U^2-Net
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
perin - PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
unet - unet for image segmentation
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
UNetPlusPlus - [IEEE TMI] Official Implementation for UNet++
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.