most citedA neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.IV2020★ 2 cited

A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series

Yasuhiko Tachibana, Masataka Nishimori, Naoyuki Kitamura +4

Purpose: To construct a neural network model that can learn the different diagnosing strategies of radiologists to better classify aneurysm status in magnetic resonance angiography…