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
  • [1] Skin cancer classification using Convolutional neural networks
    Subramanian, R. Raja
    Achuth, Dintakurthi
    Kumar, P. Shiridi
    Reddy, Kovvuru Naveen Kumar
    Amara, Srikar
    Chowdary, Adusumalli Suchan
    2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021), 2021, : 13 - 19
  • [2] Skin Cancer Classification with Deep Convolutional Neural Networks
    Chen, Mingang
    Chen, Wenjie
    Chen, Wei
    Cai, Lizhi
    Chai, Gang
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2020, 10 (07) : 1707 - 1713
  • [3] Automatic Classification of Melanoma Skin Cancer with Deep Convolutional Neural Networks
    Aljohani, Khalil
    Turki, Turki
    AI, 2022, 3 (02) : 512 - 525
  • [4] Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
    Brinker, Titus Josef
    Hekler, Achim
    Utikal, Jochen Sven
    Grabe, Niels
    Schadendorf, Dirk
    Klode, Joachim
    Berking, Carola
    Steeb, Theresa
    Enk, Alexander H.
    von Kalle, Christof
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2018, 20 (10)
  • [5] Skin Cancer Classification Using Different Backbones of Convolutional Neural Networks
    Huynh, Anh T.
    Van-Dung Hoang
    Vu, Sang
    Le, Trong T.
    Nguyen, Hien D.
    ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE: THEORY AND PRACTICES IN ARTIFICIAL INTELLIGENCE, 2022, 13343 : 160 - 172
  • [6] Convolutional Neural Networks for Survey Response Classification
    Stein, Nikolai
    Oberdorf, Felix
    Pirner, Jonas
    AMCIS 2020 PROCEEDINGS, 2020,
  • [7] Advancements in maize disease detection: A comprehensive review of convolutional neural networks
    Gülmez, Burak
    Computers in Biology and Medicine, 2024, 183
  • [8] Efficient and accurate compound scaling for convolutional neural networks
    Lin, Chengmin
    Yang, Pengfei
    Wang, Quan
    Qiu, Zeyu
    Lv, Wenkai
    Wang, Zhenyi
    NEURAL NETWORKS, 2023, 167 : 787 - 797
  • [9] Convolutional Neural Networks Framework for the Early Classification and Detection of Melanoma Skin Cancer
    Dandu R.
    Deepa B.G.
    Murthy M.V.
    SN Computer Science, 5 (5)
  • [10] Classification of skin cancer using convolutional neural networks analysis of Raman spectra
    Bratchenko, Ivan A.
    Bratchenko, Lyudmila A.
    Khristoforova, Yulia A.
    Moryatov, Alexander A.
    Kozlov, Sergey V.
    Zakharov, Valery P.
    Computer Methods and Programs in Biomedicine, 2022, 219
12345