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Akademický článek

Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++ model

Autor: Zenebe Markos Lonseko, Cheng-Si Luo, Wen-Ju Du, Tao Gan, Lin-Lin Zhu, Prince Ebenezer Adjei, Ni-Ni Rao

Publikováno v: Journal of Electronic Science and Technology, Vol 21, Iss 3, Pp 100205- (2023)

Automatic segmentation of early esophagus cancer (EEC) in gastrointestinal endoscopy (GIE) images is a critical and challenging task in clinical settings, which relies primarily on labor-intensive and time-consuming routines. EEC has often been diagn

Externí odkaz: https://doaj.org/article/a8fd08aad9fa4e1da5fffec408524f34

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Akademický článek

Weighted gene co-expression network analysis reveals similarities and differences of molecular features between dilated and ischemic cardiomyopathies

Autor: Felix K. Biwott, Ni-Ni Rao, Chang-Long Dong, Guang-Bin Wang

Publikováno v: Journal of Electronic Science and Technology, Vol 21, Iss 2, Pp 100193- (2023)

Cardiomyopathies represent the most common clinical and genetic heterogeneous group of diseases that affect the heart function. Though progress has been made to elucidate the process, molecular mechanisms of different classes of cardiomyopathies rema

Externí odkaz: https://doaj.org/article/09685bfb164647418c661c564f652547

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Akademický článek

Bioinformatics analysis on lncRNA and mRNA expression profiles for novel biological features of valvular heart disease with atrial fibrillation

Autor: Wei Zeng, Ni-Ni Rao, Ke Liu

Publikováno v: Journal of Electronic Science and Technology, Vol 19, Iss 1, Pp 100058- (2021)

The biological features of the valvular heart disease with atrial fibrillation (AF-VHD) remain unknown when involving long non-coding RNAs (lncRNAs). This study performed system analysis on lncRNA and messenger RNA (mRNA) expression profiles construc

Externí odkaz: https://doaj.org/article/2f4d11c18d454abbb5142b9c03695c6f

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Akademický článek

Identification of the potential function of circRNA in hypertrophic cardiomyopathy based on mutual RNA-RNA and RNA-RBP relationships shown by microarray data

Autor: Guang-Bin Wang, Ni-Ni Rao, Chang-Long Dong, Xiao-Qin Lyu

Publikováno v: Journal of Electronic Science and Technology, Vol 19, Iss 1, Pp 100097- (2021)

The pathogenesis of hypertrophic cardiomyopathy (HCM) is very complicated, particularly regarding the role of circular RNA (circRNA). This research pays special attention to the relationships of the circRNA-mediated network, including RNA-RNA relatio

Externí odkaz: https://doaj.org/article/e031ad546b4f4c3eaebbe98ad7325295

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Akademický článek

Extraction of Desired Signal Based on AR Model with Its Application to Atrial Activity Estimation in Atrial Fibrillation

Autor: Clive B. Beggs, Simon J. Shepherd, Ni-ni Rao, Gang Wang

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)

The use of electrocardiograms (ECGs) to diagnose and analyse atrial fibrillation (AF) has received much attention recently. When studying AF, it is important to isolate the atrial activity (AA) component of the ECG plot. We present a new autoregressi

Externí odkaz: https://doaj.org/article/b46dca78c1404921b6376cdeee65d3cc

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Akademický článek

Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++ model.

Autor: Lonseko, Zenebe Markos, Cheng-Si Luo, Wen-Ju Du, Tao Gan, Lin-Lin Zhu, Adjei, Prince Ebenezer, Ni-Ni Rao

Publikováno v: Journal of Electronic Science & Technology; Sep2023, Vol. 21 Issue 3, p1-14, 14p

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Akademický článek

Weighted gene co-expression network analysis reveals similarities and differences of molecular features between dilated and ischemic cardiomyopathies.

Autor: Biwott, Felix K., Ni-Ni Rao, Chang-Long Dong, Guang-Bin Wang

Publikováno v: Journal of Electronic Science & Technology; Jun2023, Vol. 21 Issue 2, p1-16, 16p

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Computer Aided Annotation of Early Esophageal Cancer in Gastroscopic Images based on Deeplabv3+ Network

Autor: Tao Gan, Zheng Wen Li, Ding Yun Liu, Hong Xiu Jiang, Wen Ju Du, Cheng Si Luo, Ni Ni Rao

Publikováno v: ICBIP

The diagnoses of Early Esophageal Cancer (EEC) based on gastroscopic images is a challenging task in clinic, which relies heavily on subjective artificial detection and annotation. As a result, computer aided diagnosis (CAD) methods that support the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a24dae787f36a39772de5692644a8126
https://doi.org/10.1145/3354031.3354046

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An automatic annotation method for early esophageal cancers based on saliency guided superpixel segmentation

Autor: Ni Ni Rao, Xin Ming Mei, Cheng Si Luo, Yao Wen Xing, Ding Yun Liu, Tao Gan

Publikováno v: Proceedings of the International Conference on Bioinformatics and Computational Intelligence.

The annotation of Early Esophageal Cancer (EEC) in gastroscopic images is mainly performed by clinicians in clinic, In order to reduce subjective and fatigue manual annotation works, computer-aided annotation is needed for accurate diagnosis. This st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::937d8bd88104ced649ccc72cdcd6348f
https://doi.org/10.1145/3135954.3135967

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The Influence of Dipeptide Composition on Protein Folding Rates

Autor: Jian Xiu Guo, Ni Ni Rao

Publikováno v: Advanced Materials Research. :157-160

Understanding the relationship between amino acid sequences and folding rates of proteins is an important challenge in computational and molecular biology. All existing algorithms for predicting protein folding rates have never taken into account the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7885fac6bdebaf6fd95788e2ee630bd5
https://doi.org/10.4028/www.scientific.net/amr.378-379.157

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