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 ...
Representative 18 F-FET PET images at baseline and follow-up of glioma patients with favorable (top row) and unfavorable (bottom row) outcomes after 2 cycles of adjuvant temozolomide. OS = overall ...
The study adhered to the standards established in the Declaration of Helsinki. The local ethics committees approved the retrospective analysis of imaging data (EK 055/19). All patients provided ...
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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