Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography [PDF]
arXiv, 2019 Deep learning has been successfully applied to a variety of image classification tasks. There has been keen interest to apply deep learning in the medical domain, particularly specialties that heavily utilize imaging, such as ophthalmology. One issue that may hinder application of deep learning to the medical domain is the vast amount of data necessary
arxiv
Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images [PDF]
arXiv, 2020 Multi-sequence of cardiac magnetic resonance (CMR) images can provide complementary information for myocardial pathology (scar and edema). However, it is still challenging to fuse these underlying information for pathology segmentation effectively. This work presents an automatic cascade pathology segmentation framework based on multi-modality CMR ...
arxiv
PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology [PDF]
arXiv, 2023 As advances in large language models (LLMs) and multimodal techniques continue to mature, the development of general-purpose multimodal large language models (MLLMs) has surged, offering significant applications in interpreting natural images. However, the field of pathology has largely remained untapped, particularly in gathering high-quality data and
arxiv
Traitement des membranes néovasculaires myopiques par ranibizumab : résultats à long terme. [PDF]
, 2014 Background: To report our functional results of efficacy of intravitreal ranibizumab (IVR) for submacular choroidal neovessels (CNV) in high myopia, and to compare the role of optical coherence tomography (OCT), fluorescein angiography (FA) and visual ...
LADAIQUE, M.
core
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning [PDF]
arXiv, 2019 Background: Patients with neovascular age-related macular degeneration (AMD) can avoid vision loss via certain therapy. However, methods to predict the progression to neovascular age-related macular degeneration (nvAMD) are lacking. Purpose: To develop and validate a deep learning (DL) algorithm to predict 1-year progression of eyes with no, early, or ...
arxiv
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology [PDF]
arXiv, 2023 Semantic segmentations of pathological entities have crucial clinical value in computational pathology workflows. Foundation models, such as the Segment Anything Model (SAM), have been recently proposed for universal use in segmentation tasks. SAM shows remarkable promise in instance segmentation on natural images.
arxiv
Choroidal neovascularization management in pathological myopia [PDF]
, 2012 New approaches in the diagnosis and therapy of myopic Choroidal neovascularization (CNV). Long-tem effects of anti-VEGF therapy for subfoveal myopic CNV. Best treatment drug: Bevacizumab versus Ranibizumab. Effects of treatment regimen. Effects of myopic
Papayannis, Alessandro
core
Neurofibromin Deficiency Induces Endothelial Cell Proliferation and Retinal Neovascularization [PDF]
, 2018 Purpose: Neurofibromatosis type 1 (NF1) is the result of inherited mutations in the NF1 tumor suppressor gene, which encodes the protein neurofibromin.
Bordán, Zsuzsanna +12 more
core +1 more source
Myopic maculopathy: Current status and proposal for a new classification and grading system (ATN) [PDF]
, 2019 Myopia is a highly frequent ocular disorder worldwide and pathologic myopia is the 4th most common cause of irreversible blindness in developed countries. Pathologic myopia is especially common in East Asian countries.
Arias, L. (Luis) +5 more
core
Occlusion of retinal capillaries caused by glial cell proliferation in chronic ocular inflammation [PDF]
, 2015 The inner blood-retinal barrier is a gliovascular unit in which glial cells surround capillary endothelial cells and regulate retinal capillaries by paracrine interactions.
Artico, Marco +8 more
core +2 more sources