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A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration

Giovana A. Benvenuto, Marilaine Colnago, Maurício A. Dias, Rogério G. Negri et al. • Bioengineering (2022)

In ophthalmology, the registration problem consists of finding a geometric transformation that aligns a pair of images, supporting eye-care specialists who need to record and compare images of the same patient. Considering the registration ...

DOAJ Open Access (DOAJ) DOI: 10.3390/bioengineering9080369

Computer Vision and Image Processing

Manas Kamal Bhuyan • CRC Press eBooks (2019)

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image form...

OPENALEX DOI: https://doi.org/10.1201/9781351248396

Applications of deep learning to MRI images: A survey

Jin Liu, Yi Feng Pan, Min Li, Ziyue Chen et al. • Big Data Mining and Analytics (2018)

Deep learning provides exciting solutions in many fields, such as image analysis, natural language processing, and expert system, and is seen as a key method for various future applications. On account of its non-invasive and good soft tiss...

OPENALEX cc-by DOI: https://doi.org/10.26599/bdma.2018.9020001

Deep learning in medical image registration: a review

Yabo Fu, Yang Lei, Tonghe Wang, Walter John Curran et al. • Physics in Medicine and Biology (2020)

This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into se...

OPENALEX Open Access DOI: https://doi.org/10.1088/1361-6560/ab843e PMC: 7759388

Deep Learning in Medical Image Analysis

Dinggang G. Shen, Guorong Wu A, Heung‐Il Suk • Annual Review of Biomedical Engineering (2017)

This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical image...

OPENALEX Open Access DOI: https://doi.org/10.1146/annurev-bioeng-071516-044442 PMC: 5479722