Brain-Tumor-Segmentation-And-Classification VS medicaldetectiontoolkit

Compare Brain-Tumor-Segmentation-And-Classification vs medicaldetectiontoolkit and see what are their differences.

Brain-Tumor-Segmentation-And-Classification

Brain Tumor Segmentation And Classification using artificial intelligence (by Rohith04MVK)
Segmentation image-segmentation Deep Learning medical-imaging HacktoberFest resunet
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medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images. (by MIC-DKFZ)
Detection retina-unet object-detection mask-rcnn 3d-models Deep Learning retina-net deep-neural-networks Segmentation semantic-segmentation u-net 3d-mask-rcnn 3d-object-detection medical-imaging medical-image-processing medical-image-computing medical-image-analysis pytorch-deeplearning pytorch-cnn pytorch-implementation
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Brain-Tumor-Segmentation-And-Classification medicaldetectiontoolkit
3 2
18 1,269
- 0.3%
3.0 0.0
9 months ago 29 days ago
Python Python
MIT License Apache License 2.0
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Brain-Tumor-Segmentation-And-Classification

Posts with mentions or reviews of Brain-Tumor-Segmentation-And-Classification. We have used some of these posts to build our list of alternatives and similar projects.

medicaldetectiontoolkit

Posts with mentions or reviews of medicaldetectiontoolkit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-07.
  • 3D rcnn
    3 projects | /r/computervision | 7 Sep 2021
    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
  • 3D Faster R-CNN for microscopy image analysis
    1 project | /r/deeplearning | 17 Mar 2021
    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?

When comparing Brain-Tumor-Segmentation-And-Classification and medicaldetectiontoolkit you can also consider the following projects:

dipy - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

nnUNet

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

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

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

FedCV - FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks

PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Brain-Tumor-Segmentation-And-Classification vs dipy medicaldetectiontoolkit vs nnUNet Brain-Tumor-Segmentation-And-Classification vs caer medicaldetectiontoolkit vs mmdetection3d Brain-Tumor-Segmentation-And-Classification vs MONAILabel medicaldetectiontoolkit vs Mask-RCNN-TF2 Brain-Tumor-Segmentation-And-Classification vs albumentations medicaldetectiontoolkit vs BlenderProc Brain-Tumor-Segmentation-And-Classification vs FedCV medicaldetectiontoolkit vs MONAILabel medicaldetectiontoolkit vs PaddleDetection medicaldetectiontoolkit vs BCNet