Model of images of structureless areas for the analysis of pigment patterns using artificial intelligence in oncodermatology.
This study addresses the creation of a new model for structureless areas of pigmented skin neoplasms intended for use in hardware and software systems for pattern recognition in oncodermatology. The problem which development of the model seeks to solve is the difficult formalization of the metaphori...
| Publicado en: | Biomedical Engineering Vol. 59; no. 2; pp. 78 - 83 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2025
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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=187624834&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187624834 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00063398 N96 jtl: Biomedical Engineering issn: 00063398 maglogo: N pubinfo: dt: Jul2025 vid: 59 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187624834 186949150 187624834 187624834 10.1007/s10527-025-10467-7 187624834 ppf: 78 ppct: 5 formats: tig: atl: Model of images of structureless areas for the analysis of pigment patterns using artificial intelligence in oncodermatology. aug: au: Nikitaev, V. G. Sergeev, V. Yu. Kegelik, N. A. Kozlov, V. S. affil: https://ror.org/04w8z7f34 Department of Computerized Medical Systems, National Research Nuclear University MEPhI, Moscow, Russian Federation sug: subj: Pigments Artificial Intelligence Utilization Oncology Skin Neoplasms Diagnosis Dermoscopy Sensitivity and Specificity Prediction Models Human Experimental Studies Skin Pigmentation Descriptive Statistics ab: This study addresses the creation of a new model for structureless areas of pigmented skin neoplasms intended for use in hardware and software systems for pattern recognition in oncodermatology. The problem which development of the model seeks to solve is the difficult formalization of the metaphorical medical definition of this element of pigment patterns. The proposed model of structureless areas is based on analysis of the texture characteristics of dermatoscopic images. The study used a set of 400 images containing a variety of dermatoscopic structures and structureless areas. An experimental study demonstrated the adequacy of the proposed model, which supports discrimination between structureless areas and other structures in dermatoscopic images with accuracy of up to 92.2%. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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