4 papers
A Paired Point-of-Care Ultrasound Dataset for Image Quality Enhancement and Benchmarking via a cGAN Baseline
Lennard M. van Karnenbeek, Hilde G. A. van der Pol, Mark Wijkhuizen +5
Purpose: We aim to enhance the image quality of point-of-care ultrasound (POCUS) devices using deep learning and a novel paired dataset of POCUS and high-end ultrasound images. App…
Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations
Laura Quintana-quintana, Mark Witteveen, Behdad Dashtbozorg +4
Recent advancements in multispectral (MS) and hyperspectral (HS) microscopy have focused on sensor and system improvements, yet sample processing remains overlooked. We conducted a…
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey
Hao Yang, Xinlong Liang, Zhang Li +12
Deep learning offers transformative potential in medical imaging, yet its clinical adoption is frequently hampered by challenges such as data scarcity, distribution shifts, and the…
Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images
Tiziano Natali, Liza M. Kurucz, Matteo Fusaglia +4
Prostate cancer is a leading health concern among men, requiring accurate and accessible methods for early detection and risk stratification. Prostate volume (PV) is a key paramete…