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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.
Автор: Kocot, Szymon Последнее обновление: 26.03.2019 - 16:20
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Medical Image Processing for Brain Tumor Recognition

Автор: админ Последнее обновление: 04.12.2018 - 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.
Автор: Milton-Barker, Adam Последнее обновление: 07.06.2019 - 16:44