Hindawi Editors’ Articles - Medical Imaging
In this month’s edition of Hindawi Editors’ Articles, we're looking at recent developments in medical imaging, from new diagnostic tools to the application of AI in image fusion. All four articles were published in April and are co-authored by members of the Editor Community.
- How does a cost-effective compact light-emitting diode endoscopic system perform against a standard laser endoscopic system? A research paper co-authored by Naohisa Yoshida compares the efficacy of the two systems in tumor characterization of colorectal lesions.
Read the full article in Gastroenterology Research and Practice: The Efficacy of Tumor Characterization for Colorectal Lesions with Blue Light Imaging of a Compact Light-Emitting Diode Endoscopic System Compared to a Laser Endoscopic System: A Pilot Study
- Research co-authored by VE Sathishkumar explores the trade-off between hyperparameters and training time of deep learning models for diagnosing retinal abnormalities from coherence tomography images.
Read the full article in Computational Intelligence and Neuroscience: Diagnosis of Retinal Diseases based on Bayesian Optimization deep learning network using Optical Coherence Tomography Images
- Image fusion is an exciting field in medical imaging, but how can generative adversarial networks contribute to existing knowledge? An article co-authored by Kathiravan Srinivasan investigates its application in brain imaging.
Read the full article in Behavioural Neurology: Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging using Generative Adversarial Networks
- A study by Bartosz Sikorski analyzed the performance of REVO NX as a diagnostic tool for corneal diseases via simultaneous epithelial thickness and corneal topography mapping.
Read the full article in Journal of Ophthalmology: Simultaneous corneal topography and epithelial thickness mapping from a single measurement using optical coherence tomography