Listar1. Investigación por tema "Image segmentation"
Mostrando ítems 1-6 de 6
-
An artificial-vision- and statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems
(PeerJ, 2019-07-05)[Abstract] This work proposes a method based on image analysis and machine and statistical learning to model and estimate osteocyte growth (in type I collagen scaffolds for bone regeneration systems) and the collagen ... -
An educational environment based on digital image processing to support the learning process of biomaterials degradation in stem cells
(IEEE, 2018-11-08)[Abstract] The Poly(DL-lactide-co-glycolide) copolymers (PDLGA) have designed and performed as biomaterials, taking into account their biodegradability and biocompatibility properties. These materials have a wide range of ... -
Automated inter-device 3D OCT image registration using deep learning and retinal layer segmentation
(Optica Publishing Group, 2023-07)[Abstract]: Optical coherence tomography (OCT) is the most widely used imaging modality in ophthalmology. There are multiple variations of OCT imaging capable of producing complementary information. Thus, registering these ... -
Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network
(Institute of Electrical and Electronics Engineers, 2019)[Abstract]: Optical Coherence Tomography (OCT) is a medical imaging modality that is currently the focus of many advancements in the field of ophthalmology. It is widely used to diagnose relevant diseases like Diabetic ... -
Modeling, Localization, and Segmentation of the Foveal Avascular Zone on Retinal OCT-Angiography Images
(IEEE, 2020-08-17)[Absctract]: The Foveal Avascular Zone (FAZ) is a capillary-free area that is placed inside the macula and its morphology and size represent important biomarkers to detect different ocular pathologies such as diabetic ... -
Oil spill segmentation in SAR images using convolutional neural networks. A comparative analysis with clustering and logistic regression algorithms
(Elsevier Ltd, 2019-11)[Abstract]: Synthetic aperture radar (SAR) images are a valuable source of information for the detection of marine oil spills. For their effective analysis, it is important to have segmentation algorithms that can delimit ...