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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.
作者: Kocot, Szymon 最后更新时间: 2019/03/26 - 16:20
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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.
作者: Milton-Barker, Adam 最后更新时间: 2019/06/07 - 16:44