Mask-RCNN-TF2
medicaldetectiontoolkit
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| Mask-RCNN-TF2 | medicaldetectiontoolkit | |
|---|---|---|
| 1 | 2 | |
| 299 | 1,266 | |
| - | 1.1% | |
| 1.3 | 0.0 | |
| about 1 year ago | 22 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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Mask-RCNN-TF2
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?
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
nnUNet
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
ssd_keras - A Keras port of Single Shot MultiBox Detector
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]