Salient object detection using a covariance-based CNN model in low-contrast images
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2870-6
Abstract: Salient object detection model with active environment perception can substantially facilitate a wide range of applications. Conventional models primarily rely on handcrafted low-level image features or high-level features. However, these models may face great challenges… read more here.
Keywords: object detection; salient object; model; contrast images ... See more keywords
Direct Observation of Heavy Metals and Impurities in Minerals Using Z-contrast Imaging
Sign Up to like & getrecommendations! Published in 2019 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927619012431
Abstract: Understanding interface structures, nano-precipitates, vacancies, impurities, and adsorbed atoms on mineral surfaces are important to elucidate formation mechanism and reactions of minerals in the earth environments. Aberration-corrected Z-contrast imaging can provide chemical images with sub-Å… read more here.
Keywords: contrast images; nano precipitates; contrast; direct observation ... See more keywords
Deep Learning of Phase-Contrast Images of Cancer Stem Cells Using a Selected Dataset of High Accuracy Value Using Conditional Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms24065323
Abstract: Artificial intelligence (AI) technology for image recognition has the potential to identify cancer stem cells (CSCs) in cultures and tissues. CSCs play an important role in the development and relapse of tumors. Although the characteristics… read more here.
Keywords: accuracy; phase contrast; deep learning; model ... See more keywords