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 …

Deep learning applications in magnetic resonance imaging: has the future become present?

S Gassenmaier, T Küstner, D Nickel, J Herrmann… - Diagnostics, 2021 - mdpi.com
Deep learning technologies and applications demonstrate one of the most important
upcoming developments in radiology. The impact and influence of these technologies on …

Machine learning in prostate MRI for prostate cancer: current status and future opportunities

H Li, CH Lee, D Chia, Z Lin, W Huang, CH Tan - Diagnostics, 2022 - mdpi.com
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

Accelerated T2-weighted TSE imaging of the prostate using deep learning image reconstruction: a prospective comparison with standard T2-weighted TSE imaging

S Gassenmaier, S Afat, MD Nickel, M Mostapha… - Cancers, 2021 - mdpi.com
Simple Summary Multiparametric magnetic resonance imaging (mpMRI) has become an
important diagnostic tool in the assessment of clinically significant prostate cancer. The …

A review of artificial intelligence in prostate cancer detection on imaging

I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …

[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 …

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 …

Application of swarm intelligence optimization algorithms in image processing: A comprehensive review of analysis, synthesis, and optimization

M Xu, L Cao, D Lu, Z Hu, Y Yue - Biomimetics, 2023 - mdpi.com
Image processing technology has always been a hot and difficult topic in the field of artificial
intelligence. With the rise and development of machine learning and deep learning …

Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging

A Seetharaman, I Bhattacharya, LC Chen… - Medical …, 2021 - Wiley Online Library
Purpose While multi‐parametric magnetic resonance imaging (MRI) shows great promise in
assisting with prostate cancer diagnosis and localization, subtle differences in appearance …

[HTML][HTML] 3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction

RR Sood, W Shao, C Kunder, NC Teslovich… - Medical image …, 2021 - Elsevier
The use of MRI for prostate cancer diagnosis and treatment is increasing rapidly. However,
identifying the presence and extent of cancer on MRI remains challenging, leading to high …