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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Computational Intelligence-Based Cheminformatics Model as Cancer Therapeuticsng (DL), artificial neural networks (ANN). Also, It is proved that convolutional neural networks (CNN), are an evolving approach in many cases of cancer diagnosis particularly classifying cancer lesions. With the use of these bioinformatics models, the development of novel disease-curing treatments

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Norm Setting against Violence and Terrorismr challenges in organisms, is considered a heterogeneous disease that has been classified into various subtypes. Therefore, the classification of cancer subtypes led the researchers from the bioinformatics and biomedical field, to focus on the major applications of ML methods. From the last decades,

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Poisson Processes: Auxiliary Matter,e 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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Frederick S. Hillier,Bennett L. Foxe leading to mass morbidity and mortality. Cancer is an emerging field of research that requires early identification, diagnosis, prognosis, and therapeutics. The resources and web servers play pivotal roles in cancer genomics & medical image analyses and much more. The outburst of computational met

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Mindy Blaise,Linda Knight,Emily Grayious body parts from different perspectives to diagnose cancer or see the progress during a course of treatment. Such techniques are less painful and require less preparation and recovery. The recent evolution of AI, particularly deep learning algorithms have shown potential in computer-aided diagno

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Mindy Blaise,Linda Knight,Emily Grayethods have gotten perhaps the most prominent and versatile instruments with applications spread across multiple disciplines, including oncology. The presentation of CI has carried extremist changes to the field, particularly in pathology. Current CI-based methods are widely used as an adjunct, alon