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Publication

What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek
In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

Abstract

Abstract Over the past ten years, machine vision (MV) algorithms for im- age analysis have been developing rapidly with computing power. At the same time, histopathological slices can be stored as digital images. Therefore, MV algorithms can provide diagnostic references to doctors. In particular, the continuous improvement of deep learning algorithms has further improved the accuracy of MV in disease detection and diagnosis. This paper reviews the application of image processing techniques based on MV in lymphoma histopathological images in recent years, including segmentation, classifica- tion and detection. Finally, the current methods are analyzed, some potential methods are proposed, and further prospects are made.