Evaluating different deep learning models for efficient extraction of Raman signals from CARS spectra
Sign Up to like & getrecommendations! Published in 2023 at "Physical Chemistry Chemical Physics"
DOI: 10.1039/d3cp01618h
Abstract: The nonresonant background (NRB) contribution to the coherent anti-Stokes Raman scattering (CARS) signal distorts the spectral line shapes and thus degrades the chemical information. Hence, finding an effective approach for removing NRB and extracting resonant… read more here.
Keywords: neural network; different deep; cars spectra; lstm model ... See more keywords
Next generation insect taxonomic classification by comparing different deep learning algorithms
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0279094
Abstract: Insect taxonomy lies at the heart of many aspects of ecology, and identification tasks are challenging due to the enormous inter- and intraspecies variation of insects. Conventional methods used to study insect taxonomy are often… read more here.
Keywords: learning algorithms; different deep; classification; deep learning ... See more keywords
Lung Disease Classification using GLCM and Deep Features from Different Deep Learning Architectures with Principal Component Analysis
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Integrated Engineering"
DOI: 10.30880/ijie.2018.10.07.008
Abstract: Lung disease classification is an important stage in implementing a Computer Aided Diagnosis (CADx) system. CADx systems can aid doctors as a second rater to increase diagnostic accuracy for medical applications. It has also potential… read more here.
Keywords: classification; disease classification; lung disease; deep features ... See more keywords