A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics

被引:0
作者
Hari Mohan Rai
Joon Yoo
机构
[1] Gachon University,School of Computing
来源
Journal of Cancer Research and Clinical Oncology | 2023年 / 149卷
关键词
Cancer detection; Machine learning; Deep learning; Feature extraction; State-of-art analysis; Brain tumor; Lung cancer; Skin cancer; Breast cancer; GLCM; CNN; SVM;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:14365 / 14408
页数:43
相关论文
共 50 条
[31]   Automatic Eye Disease Detection Using Machine Learning and Deep Learning Models [J].
Badah, Nouf ;
Algefes, Amal ;
AlArjani, Ashwaq ;
Mokni, Raouia .
PERVASIVE COMPUTING AND SOCIAL NETWORKING, ICPCSN 2022, 2023, 475 :773-787
[32]   A Comprehensive Analysis for Advancements and Challenges in Deep Learning Models for Image Processing [J].
Ch, Ravikumar ;
Chary, Kalvog Prakasha ;
Srinivas, S. ;
Bhavani, Tedla ;
Veeranna .
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, MACHINE LEARNING AND APPLICATIONS, VOL 1, ICDSMLA 2023, 2025, 1273 :229-234
[33]   Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning [J].
Talukder, Md Alamin ;
Islam, Md Manowarul ;
Uddin, Md Ashraf ;
Akhter, Arnisha ;
Hasan, Khondokar Fida ;
Moni, Mohammad Ali .
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 205
[34]   Sentiment Analysis using Machine Learning and Deep Learning [J].
Chandra, Yogesh ;
Jana, Antoreep .
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM-2020), 2019, :1-4
[35]   Advancements and emerging trends in integrating machine learning and deep learning for SHM in mechanical and civil engineering: a comprehensive review [J].
Khatir, Abdelwahhab ;
Capozucca, Roberto ;
Khatir, Samir ;
Magagnini, Erica ;
Le Thanh, Cuong ;
Riahi, Mohamed Kamel .
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2025, 47 (09)
[36]   Advancements in hybrid approaches for brain tumor segmentation in MRI: a comprehensive review of machine learning and deep learning techniques [J].
Ravikumar Sajjanar ;
Umesh D. Dixit ;
Vittalkumar K Vagga .
Multimedia Tools and Applications, 2024, 83 :30505-30539
[37]   Stylometry-driven framework for Urdu intrinsic plagiarism detection: a comprehensive analysis using machine learning, deep learning, and large language models [J].
Manzoor, Muhammad Faraz ;
Farooq, Muhammad Shoaib ;
Abid, Adnan .
Neural Computing and Applications, 2025, 37 (09) :6479-6513
[38]   RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models [J].
Zain, Muhammad ;
Hussain, Nisar ;
Qasim, Amna ;
Mehak, Gull ;
Ahmad, Fiaz ;
Sidorov, Grigori ;
Gelbukh, Alexander .
ALGORITHMS, 2025, 18 (07)
[39]   A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction [J].
Abdelaziz, Nabil M. ;
Bekheet, Mostafa ;
Salah, Ahmad ;
El-Saber, Nissreen ;
AbdelMoneim, Wafaa T. .
INFORMATION, 2025, 16 (07)
[40]   A comprehensive survey and analysis of generative models in machine learning [J].
Harshvardhan, G. M. ;
Gourisaria, Mahendra Kumar ;
Pandey, Manjusha ;
Rautaray, Siddharth Swarup .
COMPUTER SCIENCE REVIEW, 2020, 38