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Related Experiment Video

Updated: Jul 22, 2025

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
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Vision Transformers for Computational Histopathology.

Hongming Xu, Qi Xu, Fengyu Cong

    IEEE Reviews in Biomedical Engineering
    |July 21, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Vision transformers are revolutionizing computational histopathology by enabling advanced analysis of whole slide images for cancer diagnosis and treatment. This review explores their applications in classification, segmentation, and survival prediction.

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    Area of Science:

    • Computational histopathology
    • Artificial intelligence in medicine
    • Digital pathology

    Background:

    • Deep learning dominates computational histopathology for analyzing whole slide images.
    • Transformers, leveraging self-attention, are emerging as a key deep learning advancement.

    Conclusions:

    • Vision transformers offer a powerful approach for enhancing computational histopathology.
    • Further research into challenges and novel architectures is crucial for advancing cancer patient care.
    • This review serves as a guideline for developing advanced diagnostic and treatment techniques.