medicaldetectiontoolkit
Mask-RCNN-TF2
| medicaldetectiontoolkit | Mask-RCNN-TF2 | |
|---|---|---|
| 2 | 1 | |
| 1,269 | 299 | |
| 0.3% | - | |
| 0.0 | 1.3 | |
| 29 days ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
Mask-RCNN-TF2
What are some alternatives?
nnUNet
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
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
ssd_keras - A Keras port of Single Shot MultiBox Detector
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.