[HTML][HTML] Graph neural networks in histopathology: Emerging trends and future directions

S Brussee, G Buzzanca, AMR Schrader, J Kers - Medical Image Analysis, 2025 - Elsevier
Histopathological analysis of whole slide images (WSIs) has seen a surge in the utilization
of deep learning methods, particularly Convolutional Neural Networks (CNNs). However …

Mitotic Nuclei Segmentation and Classification Using Chaotic Butterfly Optimization Algorithm with Deep Learning on Histopathology Images

R AlGhamdi - Biomimetics, 2023 - mdpi.com
Histopathological grading of the tumors provides insights about the patient's disease
conditions, and it also helps in customizing the treatment plans. Mitotic nuclei classification …

Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model

A Alshardan, N Ahmad, AB Miled, A Alshuhail… - Scientific Reports, 2024 - nature.com
Image processing and pattern recognition methods have recently been extensively
implemented in histopathological images (HIs). These computer-aided techniques are …

Training data selection to improve multi-class instance segmentation in digital pathology

L Galvez Jiménez, A Franzin… - Proceedings of the 2023 …, 2023 - dl.acm.org
In digital pathology, the annotation process can be complex and time-consuming, the reason
why the available annotations are often imperfect. In this paper, we focus on the detection …

基于图特征的组织病理学图像分析方法的最新发展情况与展望

何睿琳, 杨欣怡, 孙洪赞, 李晨 - 数据与计算发展前沿, 2024 - jfdc.cnic.cn
[目的] 本文旨在综述最近五年人工智能在辅助组织病理学分析方面的研究进展,
主要是图特征方法的应用, 当前面临的问题以及未来的挑战.[方法] 文章回顾了图论在组织病理学 …

The Latest Development and Prospects of Histopathological Image Analysis Methods Based on Graph Features

HE Ruilin, Y Xinyi, SUN Hongzan, LI Chen - Frontiers of Data and …, 2024 - jfdc.cnic.cn
[Objective] This article aims to review the research progress of artificial intelligence in
assisting histopathology analysis in the past five years, mainly focusing on the application of …