检索结果-南通市图书馆

Arithmetic Optimization with Ensemble Deep Transfer Learning Based Melanoma Classification

计算机、材料和连续体（英文） 2023年第4期75卷 149-164页

作者： K.kalyani Sara A Althubiti Mohammed Altaf Ahmed ELaxmi Lydia Seifedine Kadry Neunggyu Han Yunyoung nam Department of Computer Science Dr.Nalli Kuppusamy Arts College(Affiliated to Bharathidasan UniversityTiruchirappalli)Thanjavur613003India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Lepartment of Computer Engineering College of Computer Engineering&SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Applied Data Science Noroff University CollegeKristiansandNorway Department of ICT Convergence Soonchunhyang UniversityKorea

Melanoma is a skin disease with high mortality rate while earlydiagnoses of the disease can increase the survival chances of patients. Itis challenging to automatically diagnose melanoma from dermoscopic skinsamples. Computer-Aided Diagnostic (CAD) tool saves time and effort indiagnosing melanoma compared to existing medical approaches. In this background,there is a need exists to design an automated classification modelfor melanoma that can utilize deep and rich feature datasets of an imagefor disease classification. The current study develops an Intelligent ArithmeticOptimization with Ensemble Deep Transfer Learning Based MelanomaClassification (IAOEDTT-MC) model. The proposed IAOEDTT-MC modelfocuses on identification and classification of melanoma from dermoscopicimages. To accomplish this, IAOEDTT-MC model applies image preprocessingat the initial stage in which Gabor Filtering (GF) technique is *** addition, U-Net segmentation approach is employed to segment the lesionregions in dermoscopic images. Besides, an ensemble of DL models includingResNet50 and ElasticNet models is applied in this study. Moreover, AOalgorithm with Gated Recurrent Unit (GRU) method is utilized for identificationand classification of melanoma. The proposed IAOEDTT-MC methodwas experimentally validated with the help of benchmark datasets and theproposed model attained maximum accuracy of 92.09% on ISIC 2017 dataset.

关键词： Skin cancer deep learning melanoma classification dermoscopy computer aided diagnosis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Fungal diversity notes 491–602: taxonomic and phylogenetic contributions to fungal taxa

引用

Fungal Diversity 2017年第2期83卷 1-261页

作者： Saowaluck Tibpromma Kevin D.Hyde Rajesh Jeewon Sajeewa S.N.Maharachchikumbura Jian-Kui Liu D.Jayarama Bhat E.B.Gareth Jones Eric H.C.McKenzie Erio Camporesi Timur S.Bulgakov Mingkwan Doilom AndreLuiz Cabral Monteiro de Azevedo Santiago Kanad Das Patinjareveettil Manimohan Tatiana B.Gibertoni Young Woon Lim Anusha Hasini Ekanayaka Benjarong Thongbai Hyang Burm Lee Jun-Bo Yang Paul M.Kirk Phongeun Sysouphanthong Sanjay K.Singh Saranyaphat Boonmee Wei Dong K.N.Anil Raj K.P.Deepna Latha Rungtiwa Phookamsak Chayanard Phukhamsakda Sirinapa Konta Subashini C.Jayasiri Chada Norphanphoun Danushka S.Tennakoon Junfu Li Monika C.Dayarathne Rekhani H.Perera Yuanpin Xiao Dhanushka N.Wanasinghe Indunil C.Senanayake Ishani D.Goonasekara N.Ide Silva Ausana Mapook Ruvishika S.Jayawardena Asha J.Dissanayake Ishara S.Manawasinghe K.W.Thilini Chethana Zong-Long Luo Kalani Kanchana Hapuarachchi Abhishek Baghela Adriene Mayra Soares Alfredo Vizzini Angelina Meiras-Ottoni Armin Mesic Arun Kumar Dutta Carlos Alberto Fragoso de Souza Christian Richter Chuan-Gen Lin Debasis Chakrabarty Dinushani A.Daranagama Diogo Xavier Lima Dyutiparna Chakraborty Enrico Ercole Fang Wu Giampaolo Simonini Gianrico Vasquez Gladstone Alves da Silva Helio Longoni Plautz Jr Hiran A.Ariyawansa Hyun Lee Ivana Kusan Jie Song Jingzu Sun Joydeep Karmakar Kaifeng Hu Kamal C.Semwal Kasun M.Thambugala Kerstin Voigt Krishnendu Acharya Kunhiraman C.Rajeshkumar Leif Ryvarden Margita Jadan MdIqbal Hosen Michal Miksık Milan C.Samarakoon Nalin N.Wijayawardene nam Kyu Kim Neven Matocec Paras Nath Singh Qing Tian R.P.Bhatt Rafael JoseVilela de Oliveira Rodham E.Tulloss S.Aamir Saithong Kaewchai Sayali D.Marathe Sehroon Khan Sinang Hongsanan Sinchan Adhikari Tahir Mehmood Tapas Kumar Bandyopadhyay Tatyana YuSvetasheva Thi Thuong Thuong Nguyen Vladimır Antonın Wen-Jing Li Yong Wang Yuvraj Indoliya Zdenko Tkalcec Abdallah M.Elgorban Ali H.Bahkali Alvin M.C.Tang Hong-Yan Su Huang Zhang Itthayakorn Promputtha Jennifer Luangsa-ard Jianchu Xu Jiye Yan Kang Ji-Chuan Marc Stadler Pete Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand World Agroforestry Centre East and Central AsiaKunming 650201YunnanPeople’s Republic of China Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand A.M.B.Gruppo Micologico Forlivese“Antonio Cicognani” Via Roma 18Forlı`Italy A.M.B.Circolo Micologico“Giovanni Carini” C.P.314BresciaItaly Societa`per gli Studi Naturalistici della Romagna C.P.144BagnacavalloRAItaly Formerly Department of Botany Goa UniversityTaleigaoGoaIndia No.128/1-J Azad Housing SocietyCurcaGoa VelhaIndia 33 B St.Edwards Road Southsea Hants Hampshire PO53DHUK Landcare Research Manaaki Whenua Private Bag 92170AucklandNew Zealand Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Division of Applied Science College of International EducationThe Hong Kong Baptist UniversityHong Kong SARChina PostGraduate Program in Biology of Fungi Department of MycologyFederal University of PernambucoAv.Nelson Chavess/nRecifePE 50670-420Brazil Institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry SciencesBeijing 100097People’s Republic of China Environmental Microbiology Lab Division of Food TechnologyBiotechnology&AgrochemistryCollege of Agriculture and Life SciencesChonnam National UniversityYongbong-Dong 300Buk-GuGwangju 61186Korea Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouPeople’s Republic of China College of Agriculture and Biological Sciences Dali UniversityDali 671003YunnanPeople’s Republic of China Yunnan Institute of Food Safety Kunming University of Science&TechnologyKunming 650500YunnanPeople’s Republic

This is a continuity of a series of taxonomic and phylogenetic papers on the fungi where materials were collected from many countries,examined and *** addition to extensive morphological descriptions and appropriate asexual and sexual connections,DNA sequence data are also analysed from concatenated datasets to infer phylogenetic relationships and substantiate systematic positions of taxa within appropriate ***ever new species or combinations are proposed,we apply an integrative approach using morphological and molecular data as well as ecological features wherever *** on 112 fungal taxa are compiled in this paper including Biatriosporaceae and Roussoellaceae,Didysimulans ***.,81 new species,18 new host records and new country records,five reference specimens,two new combinations,and three sexual and asexual morph *** new species are Amanita cornelii,***,Angustimassarina alni,***,***,***,***,Ascochyta italica,***,Austroboletus appendiculatus,Barriopsis thailandica,Berkleasmium ariense,Calophoma petasitis,Camarosporium laburnicola,***,***,***,***,Colletotrichum sambucicola,Coprinopsis cerkezii,Cytospora gelida,Dacrymyces chiangraiensis,Didysimulans italica,***,Entodesmium italica,Entoloma magnum,Evlachovaea indica,Exophiala italica,Favolus gracilisporus,Femsjonia monospora,Fomitopsis flabellata,***,Gongronella brasiliensis,Helvella crispoides,Hermatomyces chiangmaiensis,***nae,Hysterium centramurum,Inflatispora caryotae,Inocybe brunneosquamulosa,***,***,Keissleriella cirsii,Lepiota cylindrocystidia,***,***,Lophiotrema guttulata,Marasmius luculentus,Morenoina calamicola,Moelleriella thanathonensis,Mucor stercorarius,Myrmecridium fluviae,Myrothecium septentrionale,Neosetophoma garethjonesii,Nigrograna cangshanensis,Nodulosphaeria guttulatum,***tata,***,Panus subf

关键词： Agaricomycetes Ascomycota Basidiomycota Dacrymycetes Dothideomycetes Eurotiomycetes New combination Mucoromycotina New genus New records New species Pezizomycetes Phylogeny Sordariomycetes Taxonomy

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：