Titlebook: Intelligent and Fuzzy Systems; Intelligence and Sus Cengiz Kahraman,Irem Ucal Sari,A. ?a?r? Tolga Conference proceedings 2023 The Editor(s)

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On an Intelligent Hybrid Intuitionistic Fuzzy Method for Breast Cancer Classification a tumor mass that can be either benign (non-cancerous) or malignant..In the present work information for patients with breast cancer was analyzed. The data contains measurements (parameters), calculated from a digitized fine-needle aspirate image of a breast mass: type of formation, radius, perimet

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Assessment of Cancer Detection from CT Scan Images Using Hybrid Supervised Learning Methodscal image processing. Among all the main cancers, lung and liver cancers are the most prevalent and has the highest mortality rate these days. The current condition makes it difficult and time-consuming to manually identify the cancer tissue. Assessing the tumor load, planning therapies, making pred

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Fuzzy Numbers and?Analysis of?Radiological Images membership represents the degree to which a particular value belongs to the fuzzy set. Fuzzy numbers are fuzzy sets that satisfy specific conditions, and can be applied in the interpretation of the behavior of neural networks. In many real-world problems, the output of a neural network may not be a

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混雜人

oung women; and evidence-based prevention and intervention strategies..Each chapter covers its subject in depth, providing theory, findings, and future directions. Important topics addressed include:.Narrowing 978-1-4614-0415-6

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Olena Mikhnovaoung women; and evidence-based prevention and intervention strategies..Each chapter covers its subject in depth, providing theory, findings, and future directions. Important topics addressed include:.Narrowing 978-1-4614-0415-6