617 Open source projects that are alternatives of or similar to Brain-Tumor-Segmentation-using-Topological-Loss

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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Smart India Hackathon 2019 project given by the Department of Atomic Energy

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Tensorflow implementation : U-net and FCN with global convolution

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Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

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Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Helper 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

Brainy 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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Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

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ETA: Extensible Toolkit for Analytics

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🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

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My Implementation of the deeplab_v1 (known as deeplab large fov)

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Burmese (Myanmar) syllable level segmentation with regex.

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

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