Applied result detail

Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation

KOLAŘÍK, M.; BURGET, R.; UHER, V.; ŘÍHA, K.

Original Title

Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation

English Title

Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation

Type

Software

Abstract

A complete open-source code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404. Most useful parts of this software are python keras scripts with source code for 2D and 3D Dense-U-Net network models. Its an upgraded U-Net that we obtained better results than with classic U-Net and current hardware is capable of fitting it into GPU memory. 3D and 2D versions of Dense-U-Net, Res-U-Net and classic U-Net implementations are included.

Abstract in English

A complete open-source code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404. Most useful parts of this software are python keras scripts with source code for 2D and 3D Dense-U-Net network models. Its an upgraded U-Net that we obtained better results than with classic U-Net and current hardware is capable of fitting it into GPU memory. 3D and 2D versions of Dense-U-Net, Res-U-Net and classic U-Net implementations are included.

Keywords

brain; keras; segmentation; spine; u-net

Key words in English

brain; keras; segmentation; spine; u-net

Location

Kancelář SE5.123 (Kolařík)

Licence fee

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