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Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
Authored by Kocot, Szymon Last updated on 03/26/2019 - 16:20
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Visual Serving of Thin & Small Objects Using Learning Methods

Authored by admin Last updated on 09/12/2018 - 11:25
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Toward Autonomous UAV Flights in Cluttered Forestry Environments

Authored by admin Last updated on 09/12/2018 - 11:23
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Multi-Planar Spatial-ConvNet for Segmentation of Brain Tumors

Authored by admin Last updated on 12/04/2018 - 12:41
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Bengali Digit Recognition from Real-World Images

Authored by admin Last updated on 12/04/2018 - 12:42