Literature DB >> 33377348

[Advances in the application of machine learning in maxillofacial cysts and tumors].

Hong-Xiang Mei1, Jun-Hao Cheng2, Yi-Zhou Li1, Huang-Shui Ma1, Kai-Wen Zhang1, Yu-Ke Shou1, Yang Li1.   

Abstract

The application of artificial intelligence in medicine has gradually received attention along with its development. Many studies have shown that machine learning has a wide range of applications in stomatology, especially in the clinical diagnosis and treatment of maxillofacial cysts and tumors. This article reviews the application of machine learning in maxillofacial cyst and tumor to provide a new method for the diagnosis of oral and maxillofacial diseases.

Entities:  

Keywords:  digital medicine; expert system; image recognition; machine learning; maxillofacial cyst; tumor

Mesh：

Year:  2020        PMID： 33377348      PMCID： PMC7738924          DOI： 10.7518/hxkq.2020.06.014

Source DB:  PubMed          Journal:  Hua Xi Kou Qiang Yi Xue Za Zhi        ISSN： 1000-1182


  22 in total

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Journal:  J Microsc       Date:  2003-02       Impact factor: 1.758

2.  Two-string technique to manage dislocated posterior chamber plate-haptic intraocular lens.

Authors:  Mohammad Fayez Rahim; Boris Malyugin
Journal:  J Cataract Refract Surg       Date:  2006-05       Impact factor: 3.351

3.  Multiparametric decision support system for the prediction of oral cancer reoccurrence.

Authors:  Konstantinos P Exarchos; Yorgos Goletsis; Dimitrios I Fotiadis
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-08-18

4.  Textural characterization of histopathological images for oral sub-mucous fibrosis detection.

Authors:  M Muthu Rama Krishnan; Pratik Shah; Anirudh Choudhary; Chandan Chakraborty; Ranjan Rashmi Paul; Ajoy K Ray
Journal:  Tissue Cell       Date:  2011-08-06       Impact factor: 2.466

5.  FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer.

Authors:  Ayelet Zlotogorski-Hurvitz; Ben Zion Dekel; Dov Malonek; Ran Yahalom; Marilena Vered
Journal:  J Cancer Res Clin Oncol       Date:  2019-01-03       Impact factor: 4.553

6.  Quantitative risk stratification of oral leukoplakia with exfoliative cytology.

Authors:  Yao Liu; Jianying Li; Xiaoyong Liu; Xudong Liu; Waqaar Khawar; Xinyan Zhang; Fan Wang; Xiaoxin Chen; Zheng Sun
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

7.  Applications of machine learning in cancer prediction and prognosis.

Authors:  Joseph A Cruz; David S Wishart
Journal:  Cancer Inform       Date:  2007-02-11

8.  Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods.

Authors:  Siow-Wee Chang; Sameem Abdul-Kareem; Amir Feisal Merican; Rosnah Binti Zain
Journal:  BMC Bioinformatics       Date:  2013-05-31       Impact factor: 3.169

9.  A multiscale and multiparametric approach for modeling the progression of oral cancer.

Authors:  Konstantinos P Exarchos; Yorgos Goletsis; Dimitrios I Fotiadis
Journal:  BMC Med Inform Decis Mak       Date:  2012-11-22       Impact factor: 2.796

10.  Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer.

Authors:  Carolina Moretto Carnielli; Carolina Carneiro Soares Macedo; Tatiane De Rossi; Daniela Campos Granato; César Rivera; Romênia Ramos Domingues; Bianca Alves Pauletti; Sami Yokoo; Henry Heberle; Ariane Fidelis Busso-Lopes; Nilva Karla Cervigne; Iris Sawazaki-Calone; Gabriela Vaz Meirelles; Fábio Albuquerque Marchi; Guilherme Pimentel Telles; Rosane Minghim; Ana Carolina Prado Ribeiro; Thaís Bianca Brandão; Gilberto de Castro; Wilfredo Alejandro González-Arriagada; Alexandre Gomes; Fabio Penteado; Alan Roger Santos-Silva; Márcio Ajudarte Lopes; Priscila Campioni Rodrigues; Elias Sundquist; Tuula Salo; Sabrina Daniela da Silva; Moulay A Alaoui-Jamali; Edgard Graner; Jay W Fox; Ricardo Della Coletta; Adriana Franco Paes Leme
Journal:  Nat Commun       Date:  2018-09-05       Impact factor: 14.919
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