Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
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Bcdu NetBCDU-Net : Medical Image Segmentation
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Unet FamilyPaper and implementation of UNet-related model.
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U-Net-SatelliteRoad Detection from satellite images using U-Net.
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PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
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BrainyBrainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.
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Multiclass Semantic Segmentation CamvidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
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laikaExperiments with satellite image data
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PyTorch-UNetPyTorch Implementation for Segmentation and Saliency Prediction
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RobosatSemantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
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MedicalzoopytorchA pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
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Unet Segmentation Pytorch Nest Of UnetsImplementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
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Brats17Patch-based 3D U-Net for brain tumor segmentation
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Unet Tensorflow KerasA concise code for training and evaluating Unet using tensorflow+keras
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Zf unet 224 pretrained modelModification of convolutional neural net "UNET" for image segmentation in Keras framework
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unet-pytorchNo description or website provided.
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Unetunet for image segmentation
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3dunet Tensorflow Brats183D Unet biomedical segmentation model powered by tensorpack with fast io speed
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Brain-MRI-SegmentationSmart India Hackathon 2019 project given by the Department of Atomic Energy
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fabricUrban change model designed to identify changes across 2 timestamps
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Segmentation modelsSegmentation models with pretrained backbones. Keras and TensorFlow Keras.
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Lung Segmentation 2dLung fields segmentation on CXR images using convolutional neural networks.
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Semantic Segmentation SuiteSemantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
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Pytorch UnetTunable U-Net implementation in PyTorch
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segDGM CNNSegment Deep Gray Matter on QSM images using 3D CNN
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MERlinMERlin is an extensible analysis pipeline applied to decoding MERFISH data
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covid19.MIScnnRobust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
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geocoding地理编码技术,提供地址标准化和相似度计算。
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handbrake-nvenc-dockerHandbrake GUI with Web browser and VNC access. Supports NVENC encoding
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rgbd person trackingR-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.
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community-sprintsThis repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development
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django-segmentsA segmentation engine for Django user models
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CAP augmentationCut and paste augmentation for object detection and instance segmentation
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SASHIMISASHIMI segmentation is a Matlab App for semi-automatic interactive segmentation of multi-slice images.
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medSegMedical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架
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eodagEarth Observation Data Access Gateway
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