Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms

被引:0
|
作者
A. Dascalu
B. N. Walker
Y. Oron
E. O. David
机构
[1] Tel Aviv University,Department of Physiology and Pharmacology, Sackler School of Medicine
[2] Georgia Institute of Technology,Sonification Lab, School of Psychology and School of Interactive Computing
[3] Bar-Ilan University,Department of Computer Science
来源
Journal of Cancer Research and Clinical Oncology | 2022年 / 148卷
关键词
Preventive medicine; Deep learning; Sonification; Non-melanoma skin cancer; Dermoscopy; Telemedicine;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2497 / 2505
页数:8
相关论文
共 50 条
  • [41] Visual Field Inference FromOptical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices
    Shin, Jonghoon
    Kim, Sungjoon
    Kim, Jinmi
    Park, Keunheung
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2021, 10 (07):
  • [42] Can AI models assist patients in screening for non-melanoma skin cancer? Evaluating diagnostic accuracy of ChatGPT and Gemini using clinical images
    Modiri, Omeed
    Ebriani, Joseph
    Davis, Jeremy
    ARCHIVES OF DERMATOLOGICAL RESEARCH, 2025, 317 (01)
  • [43] High serum 25-hydroxyvitamin D concentration in patients with a recent diagnosis of non-melanoma skin cancer: a case-control study
    Soares, Andressa M.
    Szejnfeld, Vera L.
    Enokihara, Mauro Y.
    Michalany, Nilceo
    Castro, Charlles H. M.
    EUROPEAN JOURNAL OF DERMATOLOGY, 2018, 28 (05) : 649 - 653
  • [44] High serum 25-hydroxyvitamin D concentration in patients with a recent diagnosis of non-melanoma skin cancer: a case-control study
    Andressa M. Soares
    Vera L. Szejnfeld
    Mauro Y. Enokihara
    Nílceo Michalany
    Charlles HM Castro
    European Journal of Dermatology, 2018, 28 : 649 - 653
  • [45] Risk-adjusted relationship between voriconazole utilization and non-melanoma skin cancer among lung and heart/lung transplant patients
    McLaughlin, J. M.
    Equils, O.
    Somerville, K. T.
    Aram, J. A.
    Schlamm, H. T.
    Welch, V. L.
    Mardekian, J.
    Barbers, R. G.
    TRANSPLANT INFECTIOUS DISEASE, 2013, 15 (04) : 329 - 343
  • [46] A ssociation between polymorphisms in DNA repair gene XRCC1 and non-melanoma skin cancer risk: a meta-analysis
    Wang, Lei
    Xu, Jia
    Duan, Baoxue
    ONCOTARGETS AND THERAPY, 2017, 10 : 3475 - 3483
  • [47] Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments
    Nogales, Alberto
    Perez-Lara, Fernando
    Garcia-Tejedor, Alvaro J.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (14) : 42955 - 42971
  • [48] Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments
    Alberto Nogales
    Fernando Pérez-Lara
    Álvaro J. García-Tejedor
    Multimedia Tools and Applications, 2024, 83 : 42955 - 42971
  • [49] Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
    Civit-Masot, Javier
    Banuls-Beaterio, Alejandro
    Dominguez-Morales, Manuel
    Rivas-Perez, Manuel
    Munoz-Saavedra, Luis
    Rodriguez Corral, Jose M.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 226
  • [50] Application of a Deep-Learning Technique to Non-Linear Images From Human Tissue Biopsies for Shedding New Light on Breast Cancer Diagnosis
    Tsafas, Vassilis
    Oikonomidis, Iason
    Gavgiotaki, Evangelia
    Tzamali, Eleftheria
    Tzedakis, Georgios
    Fotakis, Costas
    Athanassakis, Irene
    Filippidis, George
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (03) : 1188 - 1195