NoCodeSeg
medicaldetectiontoolkit
| NoCodeSeg | medicaldetectiontoolkit | |
|---|---|---|
| 1 | 2 | |
| 50 | 1,292 | |
| - | 0.8% | |
| 5.2 | 0.0 | |
| 3 months ago | 3 months ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
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NoCodeSeg
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
fCWT - The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
cucim - cuCIM - RAPIDS GPU-accelerated image processing library
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.