Deep-learning-based automated measurement of outer retinal layer thickness for use in the assessment of age-related macular degeneration, applicable to both …
Effective biomarkers are required for assessing the progression of age-related macular
degeneration (AMD), a prevalent and progressive eye disease. This paper presents a deep …
degeneration (AMD), a prevalent and progressive eye disease. This paper presents a deep …
Diverse Data Generation for Retinal Layer Segmentation with Potential Structure Modelling
Accurate retinal layer segmentation on optical coherence tomography (OCT) images is
hampered by the challenges of collecting OCT images with diverse pathological …
hampered by the challenges of collecting OCT images with diverse pathological …
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 …
MT_Net: A Multi-Scale Framework Using the Transformer Block for Retina Layer Segmentation
E Liu, X He, J Yue, Y Guan, S Yang, L Zhang, A Wang… - Photonics, 2024 - mdpi.com
Variations in the thickness of retinal layers serve as early diagnostic indicators for various
fundus diseases, and precise segmentation of these layers is essential for accurately …
fundus diseases, and precise segmentation of these layers is essential for accurately …
Hybrid deep learning and optimal graph search method for optical coherence tomography layer segmentation in diseases affecting the optic nerve
Z Chen, H Zhang, EF Linton, BA Johnson… - Biomedical Optics …, 2024 - opg.optica.org
Accurate segmentation of retinal layers in optical coherence tomography (OCT) images is
critical for assessing diseases that affect the optic nerve, but existing automated algorithms …
critical for assessing diseases that affect the optic nerve, but existing automated algorithms …
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 …
RHLS: A Robust Hybrid Level Set Model Using Global-Local Signed Energy-Based Pressure Force for Medical Image Segmentation
M Almasganj, E Fatemizadeh - IEEE Access, 2024 - ieeexplore.ieee.org
Medical image segmentation often encounters significant challenges due to noise and
intensity inhomogeneity. While Level Set Models (LSMs) are widely used for segmentation …
intensity inhomogeneity. While Level Set Models (LSMs) are widely used for segmentation …