Skin cancer diagnosis based on optimized convolutional neural network.
Early detection of skin cancer is very important and can prevent some skin cancers, such as focal cell carcinoma and melanoma. Although there are several reasons that have bad impacts on the detection precision. Recently, the utilization of image processing and machine vision in medical applications...
| Publicado en: | Artificial Intelligence in Medicine Vol. 102 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Jan2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141319877&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141319877 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09333657 3HY jtl: Artificial Intelligence in Medicine issn: 09333657 maglogo: N pubinfo: dt: Jan2020 vid: 102 pid: 1004 pub: Elsevier B.V. artinfo: ui: 141319877 141319877 NLM31980095 141319877 10.1016/j.artmed.2019.101756 NLM31980095 141319877 ppct: 1 formats: tig: atl: Skin cancer diagnosis based on optimized convolutional neural network. aug: au: Zhang, Ni Cai, Yi-Xin Wang, Yong-Yong Tian, Yi-Tao Wang, Xiao-Li Badami, Benjamin affil: Department of Throracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei 430030, China sug: subj: Skin Neoplasms Diagnosis Mammals Behavior Carcinoma Diagnosis Early Diagnosis Human Computer Simulation Resource Databases Image Processing, Computer Assisted Diagnosis, Computer Assisted Algorithms Melanoma Diagnosis Animal Studies Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Early detection of skin cancer is very important and can prevent some skin cancers, such as focal cell carcinoma and melanoma. Although there are several reasons that have bad impacts on the detection precision. Recently, the utilization of image processing and machine vision in medical applications is increasing. In this paper, a new image processing based method has been proposed for the early detection of skin cancer. The method utilizes an optimal Convolutional neural network (CNN) for this purpose. In this paper, improved whale optimization algorithm is utilized for optimizing the CNN. For evaluation of the proposed method, it is compared with some different methods on two different datasets. Simulation results show that the proposed method has superiority toward the other compared methods. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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