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Automatic Segmentation of Epidermis and Hair Follicles in Optical Coherence Tomography Images of Normal Skin by Convolutional Neural Networks

del Amor, Rocío; Morales, Sandra; Colomer, Adrián; Mogensen, Mette; Jensen, Mikkel; Israelsen, Niels M.; Bang, Ole; Naranjo Ornedo, Valeriana (Frontiers Media, 2020-06-04)

[EN] Optical coherence tomography (OCT) is a well-established bedside imaging modality that allows analysis of skin structures in a non-invasive way. Automated OCT analysis of skin layers is of great relevance to study ...
Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks

Morales, Sandra; Colomer, Adrián; Mossi García, José Manuel; del Amor, Rocío; Woldbye, David; Klemp, Kristian; Larsen, Michael; Naranjo Ornedo, Valeriana (Elsevier, 2021-01)

[EN] Background and Objective: Optical coherence tomography (OCT) is a useful technique to monitor retinal layer state both in humans and animal models. Automated OCT analysis in rats is of great relevance to study possible ...
Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images

del Amor, Rocío; Morales, Sandra; Colomer, Adrián; Mossi García, José Manuel; Woldbye, David; Klemp, Kristian; Larsen, Michael; Naranjo Ornedo, Valeriana (IEEE, 2019)

[EN] Optical coherence tomography (OCT) is an important imaging modality that is used frequently to monitor the state of retinal layers both in humans and animals. Automated OCT analysis in rodents is an important method ...

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Listar por palabra clave "Layer segmentation"

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