BriefGPT.xyz
Mar, 2023
预训练的ViT模型在医疗图像中得到了多用途的表示
Pretrained ViTs Yield Versatile Representations For Medical Images
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Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith
TL;DR
本研究探讨了视觉 Transformer 在医学图像分类中的优劣，并发现使用预训练模型时，视觉 Transformer 可以与卷积神经网络媲美，成为 CNN 的一种可行替代方法。
Abstract
convolutional neural networks
(CNNs) have reigned for a decade as the de facto approach to automated
medical image diagnosis
, pushing the state-of-the-art in classification, detection and segmentation tasks. Over
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