Advancements in Convolutional Neural Networks for Accurate and Efficient Skin Cancer Classification: A Comprehensive Survey

被引：0
|
作者：
Takale, Dattatray G. [1 ]
Kashid, Shraddha S. [2 ]
Deshmukh, Gopal B. [3 ]
Gawali, Piyush P. [1 ]
Mahalle, Parikshit N. [1 ]
Sule, Bipin [4 ]
Deshpande, Arati V. [1 ]
Ghule, Vijaykumar R. [3 ]
机构：
[1] Department of Computer Engineering, Vishwakarma Institute of Information Technology, SPPU, Pune, India
[2] Department of Computer Engineering, MIT ADT University, Pune, India
[3] Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Information Technology, SPPU, Pune, India
[4] Department of Engineering, Sciences (Computer Program) and Humanities, Vishwakarma Institute of Technology, Pune, India
来源：
Lecture Notes in Networks and Systems | 2024年 / 1109 LNNS卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Lung cancer
引用
收藏
页码：27 / 45
相关论文
共 50 条
  • [21] A multi-class skin Cancer classification using deep convolutional neural networks
    Saket S. Chaturvedi
    Jitendra V. Tembhurne
    Tausif Diwan
    Multimedia Tools and Applications, 2020, 79 : 28477 - 28498
  • [22] A multi-class skin Cancer classification using deep convolutional neural networks
    Chaturvedi, Saket S.
    Tembhurne, Jitendra V.
    Diwan, Tausif
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (39-40) : 28477 - 28498
  • [23] A Convolutional Neural Network Framework for Accurate Skin Cancer Detection
    Thurnhofer-Hemsi, Karl
    Dominguez, Enrique
    NEURAL PROCESSING LETTERS, 2021, 53 (05) : 3073 - 3093
  • [24] A Convolutional Neural Network Framework for Accurate Skin Cancer Detection
    Karl Thurnhofer-Hemsi
    Enrique Domínguez
    Neural Processing Letters, 2021, 53 : 3073 - 3093
  • [25] Convolutional Neural Networks Using MobileNet for Skin Lesion Classification
    Sae-Lim, Wannipa
    Wettayaprasit, Wiphada
    Aiyarak, Pattara
    2019 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE 2019), 2019, : 242 - 247
  • [26] Multiscale ensemble of convolutional neural networks for skin lesion classification
    Liu, Yi-Peng
    Wang, Ziming
    Li, Zhanqing
    Li, Jing
    Li, Ting
    Chen, Peng
    Liang, Ronghua
    IET IMAGE PROCESSING, 2021, 15 (10) : 2309 - 2318
  • [27] Skin lesion classification with ensembles of deep convolutional neural networks
    Harangi, Balazs
    JOURNAL OF BIOMEDICAL INFORMATICS, 2018, 86 : 25 - 32
  • [28] Robust Skin Type Classification Using Convolutional Neural Networks
    Chang, Cheng-Chun
    Hsing, Shi-Tien
    Chuang, Yung-Chi
    Wu, Chien-Ta
    Fang, Tung-Jing
    Choi, Bill
    Chen, Kuan-Fu
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 2011 - 2014
  • [29] Deep Convolutional Neural Networks for Accurate Classification of Gastrointestinal Tract Syndromes
    Khan, Zahid Farooq
    Ramzan, Muhammad
    Raza, Mudassar
    Khan, Muhammad Attique
    Iqbal, Khalid
    Kim, Taerang
    Cha, Jae-Hyuk
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 78 (01): : 1207 - 1225
  • [30] A Survey of Convolutional Neural Networks for Image Classification: Models and Datasets
    Deng, Tiancan
    2022 INTERNATIONAL CONFERENCE ON BIG DATA, INFORMATION AND COMPUTER NETWORK (BDICN 2022), 2022, : 746 - 749
12345