Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images

Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images

Abstract Background To effectively detect and investigate various cell-related diseases, it is essential to understand cell behaviour. The ability to detection mitotic cells is a fundamental step in diagnosing cell-related diseases. Convolutional neural networks (CNNs) have been successfully applied...

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Bibliographic Details
Main Authors: Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Bioinformatics
Subjects:
4D image
cell
detection
microscopic image
mitotic
Online Access:https://doi.org/10.1186/s12859-021-04014-w

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