A Deep Learning Model for Assessing Ki-67 and Tumor-Infiltrating Lymphocytes Using Multiscale Attention and Pixel Channel Fusion

A Deep Learning Model for Assessing Ki-67 and Tumor-Infiltrating Lymphocytes Using Multiscale Attention and Pixel Channel Fusion

Nuclear protein Ki-67 and tumor-infiltrating lymphocytes (TILs) are key markers for histopathological diagnosis. They help to predict disease progression, patient prognosis, and treatment response. Recently, deep learning methods such as convolutional neural networks (CNNs) and transformers have sig...

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Bibliographic Details
Main Authors: Jie Huang, Yangsheng Hu, Yuanchao Xue, Yu Yao, Haitao Wang, Jianfeng He
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Breast cancer
cell nuclei
deep learning
medical image segmentation
Online Access:https://ieeexplore.ieee.org/document/10747327/
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https://ieeexplore.ieee.org/document/10747327/

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