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Vision Transformers for Medical Image Segmentation: A Comprehensive Survey

Chen Wei, Xia Liu

In: Machine Learning and Artificial Intelligence: Trends and Applications

This survey provides a thorough examination of Vision Transformer (ViT) architectures applied to medical image segmentation tasks. We review over 120 recent publications covering fundus photography, CT scan analysis, MRI brain segmentation, and histopathology slide processing. We identify key architectural innovations, benchmark datasets, and open research challenges.

Machine Learning and Artificial Intelligence: Trends and Applications

Deep Learning, Generative Models, and Real-World Deployments

Eds. Marcus Lindqvist, Chen Wei

This volume provides an in-depth exploration of the rapidly evolving landscape of machine learning and AI. Chapters cover transformer architectures, large language models, computer vision, reinforcement learning, and responsible AI practices. Written by leading researchers from top institutions worldwide, the book is essential reading for both researchers and practitioners.

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