DEEP LEARNING APPROACHES FOR CUTANEOUS LEISHMANIASES DIAGNOSIS BASED ON SKIN LESION IMAGES

被引：0
|
作者：
Harigua-Souiai, Emna [1 ]
Maouloud, Mohamed Ould [2 ]
Abdeljaoued, Ines Tej [3 ]
Hariga, Maaoui [4 ]
Mokni, Mourad [5 ]
Guizani, Ikram [2 ]
机构：
[1] Univ Tunis El Manar, Inst Pasteur Tunis, Artificial Intelligence Hlth Dev AI4HD, Lab Mol Epidemiol & Expt Pathol LR16IPT04, Tunis, Tunisia
[2] Univ Tunis El Manar, Inst Pasteur Tunis, Lab Mol Epidemiol & Expt Pathol LR16IPT0, Tunis, Tunisia
[3] Univ Tunis El Manar, Inst Pasteur Tunis, Lab Bioinformat Math & Stat LR16IPT09, Tunis, Tunisia
[4] Ctr Urbain Nord, Artificial Intelligence Hlth Dev AI4HD, Immeuble Tamayouz B11, Tunis, Tunisia
[5] Hop La Rabta, Dept Dermatol LR18SP01, Tunis, Tunisia
来源：
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE | 2021年 / 105卷 / 05期
关键词：
D O I：
暂无
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
0454
引用
收藏
页码：145 / 146
页数：2
相关论文
共 50 条
  • [31] Deep Learning Based Skin Cancer Diagnosis
    Arik, Alper
    Golcuk, Mesut
    Karsligil, Elif Mine
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [32] Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review
    Kassem, Mohamed A.
    Hosny, Khalid M.
    Damasevicius, Robertas
    Eltoukhy, Mohamed Meselhy
    DIAGNOSTICS, 2021, 11 (08)
  • [33] DEEP LEARNING BASED SKIN LESIONS DIAGNOSIS
    Gavrilov, D. A.
    Shchelkunov, N. N.
    Melerzanov, A., V
    INTERNATIONAL WORKSHOP ON PHOTOGRAMMETRIC AND COMPUTER VISION TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE, 2019, 42-2 (W12): : 81 - 85
  • [34] Skin lesion segmentation with deep learning
    Lameski, Jane
    Jovanov, Andrej
    Zdravevski, Eftim
    Lameski, Petre
    Gievska, Sonja
    EUROCON 2019 - 18th International Conference on Smart Technologies, 2019,
  • [35] Deep Learning for Skin Lesion Segmentation
    Mishra, Rashika
    Daescu, Ovidiu
    2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 1189 - 1194
  • [36] Wavelet-based deep learning for skin lesion classification
    Serte, Sertan
    Demirel, Hasan
    IET IMAGE PROCESSING, 2020, 14 (04) : 720 - 726
  • [37] Skin lesion segmentation with deep learning
    Lameski, Jane
    Jovanov, Andrej
    Zdravevski, Eftim
    Lameski, Petre
    Gievska, Sonja
    PROCEEDINGS OF 18TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES (IEEE EUROCON 2019), 2019,
  • [38] Deep Learning-Based Multiple Skin Lesion Classification
    Stefaniga, Sebastian
    Cernaianu, Iasmina
    Ivascu, Todor
    ADVANCES IN DIGITAL HEALTH AND MEDICAL BIOENGINEERING, VOL 1, EHB-2023, 2024, 109 : 792 - 800
  • [39] Skin lesion diagnosis using fluorescence images
    Odeh, Suhail M.
    Ros, Eduardo
    Rojas, Ignacio
    Palomares, Jose M.
    IMAGE ANALYSIS AND RECOGNITION, PT 2, 2006, 4142 : 648 - 659
  • [40] Deep learning based on ultrasound images assists breast lesion diagnosis in China: a multicenter diagnostic study
    Gu, Yang
    Xu, Wen
    Lin, Bin
    An, Xing
    Tian, Jiawei
    Ran, Haitao
    Ren, Weidong
    Chang, Cai
    Yuan, Jianjun
    Kang, Chunsong
    Deng, Youbin
    Wang, Hui
    Luo, Baoming
    Guo, Shenglan
    Zhou, Qi
    Xue, Ensheng
    Zhan, Weiwei
    Zhou, Qing
    Li, Jie
    Zhou, Ping
    Chen, Man
    Gu, Ying
    Chen, Wu
    Zhang, Yuhong
    Li, Jianchu
    Cong, Longfei
    Zhu, Lei
    Wang, Hongyan
    Jiang, Yuxin
    INSIGHTS INTO IMAGING, 2022, 13 (01)
12345