Reset
Showing 11 of 51 academic articles

Deep learning approaches to biomedical image segmentation

Intisar Rizwan I Haque, Jeremiah J. Neubert • Informatics in Medicine Unlocked (2020)

The review covers automatic segmentation of images by means of deep learning approaches in the area of medical imaging. Current developments in machine learning, particularly related to deep learning, are proving instrumental in identificat...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.imu.2020.100297

An overview of deep learning in the field of dentistry

Jae Joon Hwang, Yun‐Hoa Jung, Bong‐Hae Cho, Min-Suk Heo • Imaging Science in Dentistry (2019)

PURPOSE: Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about d...

OPENALEX cc-by-nc DOI: https://doi.org/10.5624/isd.2019.49.1.1 PMC: 6444007

Machine and deep learning methods for radiomics

Michele Avanzo, Lise Wei, Joseph Stancanello, Martin Vallières et al. • Medical Physics (2020)

Radiomics is an emerging area in quantitative image analysis that aims to relate large-scale extracted imaging information to clinical and biological endpoints. The development of quantitative imaging methods along with machine learning has...

OPENALEX other-oa DOI: https://doi.org/10.1002/mp.13678 PMC: 8965689

A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images

Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza et al. • BMC Medical Informatics and Decision Making (2025)

Abstract Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. However, challenges such as inter- and intra-class similarities, class imba...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-025-02966-0

Deep Learning: A Primer for Radiologists

Gabriel Chartrand, Phillip M. Cheng, Eugene Vorontsov, Michal Drozdzal et al. • Radiographics (2017)

Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech recognition, natural language processing, and playing games. Deep learning methods prod...

OPENALEX DOI: https://doi.org/10.1148/rg.2017170077

Deep Learning in Neuroradiology

Greg Zaharchuk, Enhao Gong, Max Wintermark, Daniel L. Rubin et al. • American Journal of Neuroradiology (2018)

Deep learning is a form of machine learning using a convolutional neural network architecture that shows tremendous promise for imaging applications. It is increasingly being adapted from its original demonstration in computer vision applic...

OPENALEX cc-by DOI: https://doi.org/10.3174/ajnr.a5543 PMC: 7410723

Deciphering Exhaled Aerosol Fingerprints for Early Diagnosis and Personalized Therapeutics of Obstructive Respiratory Diseases in Small Airways

Xiuhua April Si, Jinxiang Xi • Journal of Nanotheranostics (2021)

Respiratory diseases often show no apparent symptoms at their early stages and are usually diagnosed when permanent damages have been made to the lungs. A major site of lung pathogenesis is the small airways, which make it highly challengin...

DOAJ Open Access (DOAJ) DOI: 10.3390/jnt2030007

Artificial intelligence in orthopaedic surgery

Anthony B. Lisacek-Kiosoglous, Amber S. Powling, Andreas Fontalis, Ayman Gabr et al. • Bone and Joint Research (2023)

The use of artificial intelligence (AI) is rapidly growing across many domains, of which the medical field is no exception. AI is an umbrella term defining the practical application of algorithms to generate useful output, without the need ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1302/2046-3758.127.bjr-2023-0111.r1 PMC: 10329876

Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction

Sebastian Holm, MD, Mario Zambrana, MD, Juan E. Berner, MD, PhD, Reza Tabrisi, MD et al. • Plastic and Reconstructive Surgery, Global Open (2025)

Summary:. Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. The current literature discusses clinical applications and limitations of AI, but its r...

DOAJ Open Access (DOAJ) DOI: 10.1097/GOX.0000000000007057

Artificial intelligence in medicine

AN Ramesh, C. Kambhampati, J. Quinn Monson, Philip J. Drew • Annals of The Royal College of Surgeons of England (2004)

INTRODUCTION: Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting ou...

OPENALEX Open Access DOI: https://doi.org/10.1308/147870804290 PMC: 1964229