AI-guided ultrasound improves blood–brain barrier opening procedures by predicting bubble collapse
A study led by Georgia Institute of Technology's Associate Professor Costas Arvanitis takes a major step toward safer and more effective treatment and diagnosis of brain diseases. His team's research, ...
🚀：Feb 2019 the data processing implementation in this repo is not the fastest way (code need update, contribution is welcome), you can use TensorFlow dataset API instead. This repo show you how to ...
Abstract: In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences. Twenty ...
The Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion─Israel Institute of Technology, Haifa 3200003, Israel The ...
According to experts in neurology, brain tumours pose a serious risk to human health. The clinical identification and treatment of brain tumours rely heavily on accurate segmentation. The varied sizes ...
On September 30, the Human Brain Project (HBP) formally completes its 10-year runtime as an EU-funded FET Flagship. The project has pioneered digital neuroscience, a new approach to studying the brain ...
This is an experimental project to detect Ovarian-Tumor based on Ovrian Ultrasound Images Dataset (OTUI), by using Google Brain AutoML EfficientDet. @article{DBLP ...
Abstract: An unusual mass of tissue in which some cells multiplies and grows uncontrollably is called brain tumor. It starts growing inside the skull and interpose with the regular functioning of the ...
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