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

Deep Learning: Build a Black Box Model for Medical Professionals

Building a Black Box Model Using Transfer Learning Introduction
作者: Kocot, Szymon 最后更新时间: 2018/08/15 - 14:28

Accelerating Secondary Genome Analysis Using Intel® Reference Architecture

The dramatic reduction in whole human genome sequencing costs, from USD 100 million per genome in 2001 to USD 4,500 per genome in 2014, combined with the increasing performance gains in computing t

作者: Mike P. (Intel) 最后更新时间: 2019/10/01 - 16:45