Divide-and-Attention Network for HE-Stained Pathological Image Classification

Divide-and-Attention Network for HE-Stained Pathological Image Classification

Since pathological images have some distinct characteristics that are different from natural images, the direct application of a general convolutional neural network cannot achieve good classification performance, especially for fine-grained classification problems (such as pathological image gradin...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Rui Yan, Zhidong Yang, Jintao Li, Chunhou Zheng, Fa Zhang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-06-01
Sarja:Biology
Aiheet:
pathological image classification
attention mechanism
convolutional neural network
knowledge embedding
Linkit:https://www.mdpi.com/2079-7737/11/7/982

Internet

https://www.mdpi.com/2079-7737/11/7/982

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