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pro vyhledávání: '"Lal, Sinan"'
Autor:
Abdulah, Haikal, Huber, Benjamin, Lal, Sinan, Abdallah, Hassan, Palese, Luigi L., Soltanian-Zadeh, Hamid, Gatti, Domenico L.
CXR-Net is a two-module Artificial Intelligence pipeline for the quick detection of SARS-CoV-2 from chest X-rays (CXRs). Module 1 was trained on a public dataset of 6395 CXRs with radiologist annotated lung contours to generate masks of the lungs tha
Externí odkaz:
http://arxiv.org/abs/2103.00087
Autor:
Abdulah, Haikal, Huber, Benjamin, Lal, Sinan, Abdallah, Hassan, Soltanian-Zadeh, Hamid, Gatti, Domenico L.
Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images. Most DNNs developed for this purpose are based on some variation of the encoder-decoder U-Net architecture. Here we show that Res-CR-Net, a new type of f
Externí odkaz:
http://arxiv.org/abs/2011.08655