A5081906043- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Glaucoma and retinal disorders
- AI in cancer detection
- Atrial Fibrillation Management and Outcomes
- melanin and skin pigmentation
- Collagen: Extraction and Characterization
- Cardiac tumors and thrombi
- Venous Thromboembolism Diagnosis and Management
- Skin Protection and Aging
- Optical Coherence Tomography Applications
Diabetic Retinopathy (DR), an ocular complication of diabetes, is a leading cause blindness worldwide. Traditionally, DR monitored using Color Fundus Photography (CFP), widespread 2-D imaging modality. However, classifications based on CFP have poor predictive power, resulting in suboptimal management. Optical Coherence Tomography Angiography (OCTA) recent 3-D modality offering enhanced structural and functional information (blood flow) with wider field view. This paper investigates...
Federated learning (FL) is a machine framework that allows remote clients to collaboratively learn global model while keeping their training data localized. It has emerged as an effective tool solve the problem of privacy protection. In particular, in medical field, it gaining relevance for achieving collaborative protecting sensitive data. this work, we demonstrate feasibility FL development deep screening diabetic retinopathy (DR) fundus photographs. To end, conduct simulated using nearly...
Diabetic Retinopathy (DR), an ocular complication of diabetes, is a leading cause blindness worldwide. Traditionally, DR monitored using Color Fundus Photography (CFP), widespread 2-D imaging modality. However, classifications based on CFP have poor predictive power, resulting in suboptimal management. Optical Coherence Tomography Angiography (OCTA) recent 3-D modality offering enhanced structural and functional information (blood flow) with wider field view. This paper investigates...
Summary Background The application of ingredients from marine and maritime origins is increasingly common in skin care products, driven by consumer expectations for natural ingredients. However, these are typically studied a few isolated vitro activities. Objectives purpose this study was to carry out comprehensive evaluation the activity on an association using label‐free quantitative proteomic analysis, order predict clinical benefits if used product. Methods An aqueous gel containing 6.1%...
Domain generalization (DG) is a paradigm ensuring machine learning algorithms predict well on unseen domains. Recent computer vision research in DG highlighted how inconsistencies datasets, architectures, and model criteria challenge fair comparisons. In the medical domain, application of assumes an even more challenging task as data often exhibit significant variability due to diverse imaging modalities, patient demographics, disease characteristics. light this, need generalize effectively...
Direct oral anticoagulants (DOACs) also influence cell signaling in various types, thus affecting biological systems other than coagulation, whose markers are uncertain. To perform a pilot study of variations plasma protein by means Liquid chromatography–high resolution tandem mass spectrometry (LC-HRMS/MS) 5 patients with newly-diagnosed non-valvular atrial fibrillation (NVAF) starting rivaroxaban anti-FXa DOAC treatment. A total 260 proteins could be identified samples obtained before...