Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe
Optical coherence tomography (OCT), an interferometric imaging technique, provides non-
invasive, high-speed, high-sensitive volumetric biological imaging in vivo. However …
invasive, high-speed, high-sensitive volumetric biological imaging in vivo. However …
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges
This paper presents a comprehensive systematic review of generative models (GANs, VAEs,
DMs, and LLMs) used to synthesize various medical data types, including imaging …
DMs, and LLMs) used to synthesize various medical data types, including imaging …
A machine learning framework for the quantification of experimental uveitis in murine OCT
This paper presents methods for the detection and assessment of non-infectious uveitis, a
leading cause of vision loss in working age adults. In the first part, we propose a …
leading cause of vision loss in working age adults. In the first part, we propose a …
Study on high-precision three-dimensional reconstruction of pulmonary lesions and surrounding blood vessels based on CT images
C Chen, Z Fu, S Ye, C Zhao, V Golovko, S Ye, Z Bai - Optics Express, 2024 - opg.optica.org
The adoption of computerized tomography (CT) technology has significantly elevated the
role of pulmonary CT imaging in diagnosing and treating pulmonary diseases. However …
role of pulmonary CT imaging in diagnosing and treating pulmonary diseases. However …