HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification

Abstract Purpose To develop an end-to-end convolutional neural network model for analyzing hematoxylin and eosin(H&E)-stained histological images, enhancing the performance and efficiency of nuclear segmentation and classification within the digital pathology workflow. Methods We propose a dual-...

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Bibliographic Details

Published in:	BMC Medical Imaging
Main Authors:	Junxiao Chen, Ruixue Wang, Wei Dong, Hua He, Shiyong Wang
Format:	Article
Language:	English
Published:	BMC 2025-01-01
Subjects:	Nuclear segmentation Nuclear classification Feature pyramid Convolutional neural network Digital pathology
Online Access:	https://doi.org/10.1186/s12880-025-01550-2