DebeshJha / 2020-CBMS-DoubleU-Net

Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

Date Created 2020-04-22 (5 years ago)

Commits 27 (last one about a year ago)

Stargazers 240 (0 this week)

Watchers 7 (0 this week)

Forks 71

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RepositoryStats indexes 641,700 repositories, of these DebeshJha/2020-CBMS-DoubleU-Net is ranked #166,517 (74th percentile) for total stargazers, and #263,230 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #30,098/131,903.

DebeshJha/2020-CBMS-DoubleU-Net is also tagged with popular topics, for these it's ranked: deep-learning (#3,297/8886), convolutional-neural-networks (#199/574), semantic-segmentation (#178/550), medical-imaging (#85/313), image-segmentation (#82/218)

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DebeshJha/2020-CBMS-DoubleU-Net has Github issues enabled, there are 6 open issues and 10 closed issues.

Homepage URL: https://arxiv.org/pdf/2006.04868.pdf

All Topics

unet u-net cnn-keras tensoflow doubleunet doubleu-net deep-learning medical-imaging image-segmentation segmentation-models semantic-segmentation pytorch-implementation unet-image-segmentation convolutional-neural-networks

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3 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2025-04-19 @ 12:38pm, id: 257974060 / R_kgDOD2BfLA