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Chinese People’s Liberation Army (PLA) General Hospital Reports Findings in Engineering (Convolutional neural network assistance significantly improves dermatologists’ diagnosis of cutaneous tumours using clinical images)

机译:中国人民解放军(PLA)总医院报告工程研究结果(卷积神经网络援助可显着改善皮肤科医生使用临床图像诊断皮肤肿瘤的诊断)

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By a News Reporter-Staff News Editor at Network Daily News – New research on Engineering is the subject of a report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Convolutional neural networks (CNNs) have demonstrated expert-level performance in cutaneous tumour classification using clinical images, but most previous studies have focused on dermatologist-versus-CNN comparisons rather than their combination. The objective of our study was to evaluate the potential impact of CNN assistance on dermatologists for clinical image interpretation.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 有关工程的新研究是报告的主题。 根据NewsRX通讯员的中华人民共和国的新闻报道,研究人员说:“卷积神经网络(CNN)表现出使用临床图像在皮肤肿瘤分类中的专家水平表现,但大多数先前的研究都集中在皮肤病学家 - - 皮肤病学家 - 与CNN的比较,而不是它们的组合。 我们研究的目的是评估CNN援助对皮肤科医生对临床图像解释的潜在影响。”

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