Multi-class CNN for classification of multispectral and autofluorescence skin lesion clinical images
I Lihacova, A Bondarenko, Y Chizhov… - Journal of Clinical …, 2022 - mdpi.com
In this work, we propose to use an artificial neural network to classify limited data of clinical
multispectral and autofluorescence images of skin lesions. Although the amount of data is …
multispectral and autofluorescence images of skin lesions. Although the amount of data is …
Use of machine learning approaches to improve non-invasive skin melanoma diagnostic method in spectral range 450-950nm
A Bondarenko, Y Chizhov, D Uteshev… - Optics, Photonics …, 2020 - spiedigitallibrary.org
Non-invasive skin cancer diagnostic methods develop rapidly thanks to Deep Learning and
Convolutional Neural Networks (CNN). Currently, two types of diagnostics are popular:(a) …
Convolutional Neural Networks (CNN). Currently, two types of diagnostics are popular:(a) …
Biophotonics research in Riga: recent projects and results
J Spigulis, I Kuzmina, I Lihacova… - Biophotonics …, 2020 - spiedigitallibrary.org
A brief review on the activities of Biophotonics Laboratory at UL Institute of Atomic Physics
and Spectroscopy, following the previous Biophotonics Riga-2017 conference, is presented …
and Spectroscopy, following the previous Biophotonics Riga-2017 conference, is presented …
Deep learning model deploying on embedded skin cancer diagnostic device
D Bliznuks, E Cibulska, A Bondarenko… - Biophotonics …, 2020 - spiedigitallibrary.org
The number of research papers, where neural networks are applied in medical image
analysis is growing. There is a proof that Convolutional Neural Networks (CNN) are able to …
analysis is growing. There is a proof that Convolutional Neural Networks (CNN) are able to …