Results 31 to 40 of about 766,173 (279)
Statistical methods for tissue array images - algorithmic scoring and co-training [PDF]
, 2011 Recent advances in tissue microarray technology have allowed immunohistochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and prognostic biomarkers.
Knudsen, Beatrice +4 more
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IEEE AccessChronic tinnitus is a subjective condition where individuals experience persistent noise or ringing without external stimuli, impacting daily life, sleep, and mental health.
Yingying Wang +8 more
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A Deep Embedding Model for Co-occurrence Learning
, 2015 Co-occurrence Data is a common and important information source in many areas, such as the word co-occurrence in the sentences, friends co-occurrence in social networks and products co-occurrence in commercial transaction data, etc, which contains rich ...
Chen, Jianshu +5 more
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The laminA/NF-Y protein complex reveals an unknown transcriptional mechanism on cell proliferation [PDF]
, 2016 Lamin A is a component of the nuclear matrix that also controls proliferation by largely unknown mechanisms. NF-Y is a ubiquitous protein involved in cell proliferation composed of three subunits (-YA -YB -YC) all required for the DNA ...
Alonzi, Tonino +16 more
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Word Embedding With Zipf’s Context
IEEE Access, 2019 Word embeddings generated by neural language models have achieved great success in many NLP tasks. However, neural language models may be difficult to train and time consuming.
Lizheng Gao +3 more
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Mine flood perception based on gray level co-occurrence matrix and regression analysis
Gong-kuang zidonghua, 2020 Aiming at problems of low recognition rate and poor stability and timeliness when image recognition was used in mine flood perception, a mine flood perception method based on gray level co-occurrence matrix and regression analysis was proposed.
CAO Yuchao
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Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 In this research, a group of gray texture images of the Brodatz database was studied by building the features database of the images using the gray level co-occurrence matrix (GLCM), where the distance between the pixels was one unit and for four angles (
Haider S. Kaduhm +1 more
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Tracking objects with co‐occurrence matrix and particle filter in infrared video sequences
IET Computer Vision, 2018 Tracking objects in infrared video sequences became a very important challenge for many current tracking algorithms due to several complex situations such as illumination variation, night vision, and occlusion. This study proposes a new tracker that uses
Issam Elafi +2 more
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ANALISIS TEKSTUR PADA CITRA IRIS MATA MENGGUNAKAN ALGORITMA GRAY LEVEL CO-OCCURENCY MATRIX
Pilar Nusa Mandiri, 2019 According to data from the ministry of health, with the high intensity of use the gadget nowadays, therefore the number of people with eye disease is increasing.
Asti Herliana, Toni Arifin
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Image Steganalysis in Frequency Domain Using Co-Occurrence Matrix and Bpnn
Science Journal of University of Zakho, 2019 In the last two decades, steganalysis has become a fertile research area to minimize the security risks left behind by Misuse of data concealment in digital computer files.
Isamadeen A. Khalifa +3 more
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