Cargando…
Thermal Time Constant CNN-Based Spectrometry for Biomedical Applications
This paper presents a novel method based on a convolutional neural network to recover thermal time constants from a temperature–time curve after thermal excitation. The thermal time constants are then used to detect the pathological states of the skin. The thermal system is modeled as a Foster Netwo...
Autores principales: | Strąkowska, Maria, Strzelecki, Michał |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422578/ https://www.ncbi.nlm.nih.gov/pubmed/37571442 http://dx.doi.org/10.3390/s23156658 |
Ejemplares similares
-
CNN-based ranking for biomedical entity normalization
por: Li, Haodi, et al.
Publicado: (2017) -
Multichannel CNN Model for Biomedical Entity Reorganization
por: Singh, Ajay Kumar, et al.
Publicado: (2022) -
Skin Lesion Detection Algorithms in Whole Body Images
por: Strzelecki, Michał H., et al.
Publicado: (2021) -
Mass Spectrometry Applications in Biomedical Research
por: Che, Fa-Yun, et al.
Publicado: (2015) -
Mass Spectrometry-based Lipidomics and Its Application to Biomedical Research
por: Wu, Zhexue, et al.
Publicado: (2014)