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Titlebook: Computational Intelligence in Oncology; Applications in Diag Khalid Raza Book 2022 The Editor(s) (if applicable) and The Author(s), under e

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发表于 2025-3-21 18:18:45 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence in Oncology
副标题Applications in Diag
编辑Khalid Raza
视频video
概述Covers exclusive applications of computational intelligence.Presents cancer recurrence prediction, survival prediction, and detection of malignant or premalignant lesions.Includes fundamental concepts
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence in Oncology; Applications in Diag Khalid Raza Book 2022 The Editor(s) (if applicable) and The Author(s), under e
描述.This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics...The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. ..Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnos
出版日期Book 2022
关键词Cancer Prediction; Survival Prediction; Anti-cancer Drug Response Prediction; Anti-cancer Drug Design; G
版次1
doihttps://doi.org/10.1007/978-981-16-9221-5
isbn_softcover978-981-16-9223-9
isbn_ebook978-981-16-9221-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Computational Intelligent Systems in Oncology: A Way Toward Translational Healthcaree GLOBOCAN 2020 report, the global cancer pattern map showcases incidence cases of eight different types of cancers in men, while for women is of seven different types. The most common cancer in men is prostate cancer, followed by lung cancer, whereas, in the case of females, breast cancer followed
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Automatic Cancer Detection Using Probabilistic Convergence Theorytic Convergence theorem on homogeneous and heterogeneous datasets. This model also displays the intensity of cancer patients. The model is for cancer detection, which is automatic and can send data values generated during testing and propagate to the next step to create a dataset that can be homogen
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