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Authored by Flavio Luis de Mello Last updated on 01/24/2018 - 15:35
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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.
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Medical Image Processing for Brain Tumor Recognition

Authored by admin Last updated on 12/04/2018 - 09:33
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Invasive Water Hyacinth Monitoring on Lake Victoria

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Detecting Acute Lymphoblastic Leukemia Using Caffe*, OpenVINO™ and Intel® Neural Compute Stick 2: Part 1

First part of a series that will take you through my experience building a custom classifier with Caffe* that should be able to detect AML/ALL.
Authored by Milton-Barker, Adam Last updated on 06/07/2019 - 16:44