Hyperparameter Tuning Bidirectional Gated Recurrent Unit Model for Oral Cancer Classification

作     者：K.Shankar E.Laxmi Lydia Sachin Kumar Ali S.Abosinne Ahmed alkhayyat A.H.Abbas Sarmad Nozad Mahmood 

作者机构：Department of Computer ScienceSouth Ural State UniversityChelyabinsk454080Russia Department of Computer Science and EngineeringVignan’s Institute of Information TechnologyVisakhapatnam530049India Computer Technical Engineering DepartmentCollege of Technical Engineeringthe Islamic UniversityNajaf54001Iraq College of Technical Engineeringthe Islamic UniversityNajafIraq College of Information TechnologyImam Ja’afar Al-Sadiq UniversityAl-Muthanna66002Iraq Computer Technology EngineeringCollege of Engineering TechnologyAl-Kitab UniversityIraq 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第73卷第12期

页      面：4541-4557页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0710[理学-生物学] 0401[教育学-教育学] 1002[医学-临床医学] 0805[工学-材料科学与工程（可授工学、理学学位）] 100214[医学-肿瘤学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 10[医学] 

基　　金：The work is supported by the Ministry of Science and Higher Education of the Russian Federation(Government Order FENU-2020-0022) 

主　　题：Computer aided diagnosis deep learning BGRU biomedical imaging oral cancer histopathological images 

摘      要：Oral Squamous Cell Carcinoma(OSCC)is a type of Head and Neck Squamous Cell Carcinoma(HNSCC)and it should be diagnosed at early stages to accomplish efficient treatment,increase the survival rate,and reduce death *** imaging is a wide-spread standard used for OSCC ***,it is a cumbersome process and demands expert’s ***,there is a need exists for automated detection ofOSCC using Artificial Intelligence(AI)and Computer Vision(CV)*** this background,the current research article introduces Improved Slime Mould Algorithm with Artificial Intelligence Driven Oral Cancer Classification(ISMA-AIOCC)model on Histopathological images(HIs).The presented ISMA-AIOCC model is aimed at identification and categorization of oral cancer using *** the initial stage,linear smoothing filter is applied to eradicate the noise from ***,MobileNet model is employed to generate a useful set of feature ***,Bidirectional Gated Recurrent Unit(BGRU)model is exploited for classification *** the end,ISMA algorithm is utilized to fine tune the parameters involved in BGRU ***,ISMA algorithm is created by integrating traditional SMA and ChaoticOppositional Based Learning(COBL).The proposed ISMA-AIOCC model was validated for performance using benchmark dataset and the results pointed out the supremacy of ISMA-AIOCC model over other recent approaches.