Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges

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Kumar, Gulshan, and Hamed Alqahtani. “Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges”. Computer Modeling in Engineering &Amp; Sciences, vol. 130, no. 3, 2022, pp. 1271-07, https://doi.org/10.32604/cmes.2022.018418.
Kumar, G., & Alqahtani, H. (2022). Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges. Computer Modeling in Engineering &Amp; Sciences, 130(3), 1271-1307. https://doi.org/10.32604/cmes.2022.018418
Kumar G, Alqahtani H. Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges. Computer Modeling in Engineering & Sciences. 2022;130(3):1271-307.
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Deep learning algorithms in medical image processing for cancer diagnosis: Overview, challenges and future 2021
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Citations
Title Journal Journal Categories Citations Publication Date
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets Measurement
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics: Instruments and machines
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 1 2024
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics Journal of Cancer Research and Clinical Oncology
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  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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Citations Analysis
Category Category Repetition
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens1
Medicine: Medicine (General)1
Technology: Engineering (General). Civil engineering (General)1
Science: Mathematics: Instruments and machines1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
The category Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Dense-Structured Network Based Bearing Remaining Useful Life Prediction System and was published in 2022. The most recent citation comes from a 2024 study titled Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets. This article reached its peak citation in 2023, with 4 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the Computer Modeling in Engineering & Sciences cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year