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12/18/2020
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review
We performed a PubMed search to find 148 papers published between Januar...
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11/13/2020
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model
Breast cancer screening is one of the most common radiological tasks wit...
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06/09/2019
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Recent analysis identified distinct genomic subtypes of lower-grade glio...
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07/05/2018
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images
Objective: To develop an automatic image normalization algorithm for int...
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02/10/2018
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Deep learning is a branch of artificial intelligence where networks of s...
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11/29/2017
Deep Learning for identifying radiogenomic associations in breast cancer
Purpose: To determine whether deep learning models can distinguish betwe...
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11/28/2017
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ
Purpose: To determine whether deep learning-based algorithms applied to ...
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12/17/2014
High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images
A blind approach to evaluate the perceptual sharpness present in a natur...
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12/17/2014
