Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, Q Al Tashi, A Shah, R Qureshi… - Authorea …, 2024 - authorea.com
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

A review of deep learning-based deformable medical image registration

J Zou, B Gao, Y Song, J Qin - Frontiers in Oncology, 2022 - frontiersin.org
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …

[HTML][HTML] A review of deep learning-based three-dimensional medical image registration methods

H Xiao, X Teng, C Liu, T Li, G Ren, R Yang… - … Imaging in Medicine …, 2021 - ncbi.nlm.nih.gov
Medical image registration is a vital component of many medical procedures, such as image-
guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better …

-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing

X Luo, X Zhuang - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
This article presents a generic probabilistic framework for estimating the statistical
dependency and finding the anatomical correspondences among an arbitrary number of …

Deep learning for medical image registration: A comprehensive review

S Bharati, M Mondal, P Podder, VB Prasath - arXiv preprint arXiv …, 2022 - arxiv.org
Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …

[PDF][PDF] 磁共振成像人工智能的研究现状及发展前景

王梅云 - 磁共振成像, 2023 - med-sci.cn
随着MRI 技术的迅速发展, 更加先进的高性能MRI 设备的临床投用, 以及各种图像后处理软件
不断开发, 不仅MRI 性能和图像质量得到了提高, 更重要的是使原来难以发现的组织结构和器官 …

A variational bayesian method for similarity learning in non-rigid image registration

D Grzech, MF Azampour, B Glocker… - Proceedings of the …, 2022 - openaccess.thecvf.com
We propose a novel variational Bayesian formulation for diffeomorphic non-rigid registration
of medical images, which learns in an unsupervised way a data-specific similarity metric …

A new hybrid strategy in medical image registration based on graph transformation matching and mean-based RANSAC algorithms

Z Hossein-Nejad, M Nasri - Multimedia Tools and Applications, 2024 - Springer
Medical image registration is a preprocessing stage in a variety of applications such as
change detection and mosaicking. Matching is one of the essential steps in image …

[HTML][HTML] An overview of artificial intelligence in medical physics and radiation oncology

J Liu, H Xiao, J Fan, W Hu, Y Yang, P Dong… - Journal of the National …, 2023 - Elsevier
Artificial intelligence (AI) is developing rapidly and has found widespread applications in
medicine, especially radiotherapy. This paper provides a brief overview of AI applications in …

A systematic mapping study of low-grade tumor of brain cancer and csf fluid detecting approaches and parameters

S Saeed, HB Haroon, M Naqvi, NZ Jhanjhi… - … and applications of …, 2022 - igi-global.com
Low-grade tumor or CSF fluid, the symptoms of brain tumor and CSF liquid, usually require
image segmentation to evaluate tumor detection in brain images. This research uses …