Journals / Fırat Tıp Dergisi / 2009 / Cilt: 14 - Sayı: 1

Techniques of artificial intelligence network (Ann) and applıed to radiology

Yapay zeka teknikleri ve radyolojiye uygulanması

Pages
1–6
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this cases, Introducing of Neural network techniques were aimed to composed of estimation on relationship ideas by using radiology.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artifical Neural Network (ANN) have been begin by using in various field and worked to build by developing of computer process to smilar thing of human.
📊
Key Findings & Data:Artifical Neural Network (ANN) have been begin by using in various field and worked to build by developing of computer process to smilar thing of human.
💡
Conclusion & Impact:In this cases, Introducing of Neural network techniques were aimed to composed of estimation on relationship ideas by using radiology.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Artifical Neural Network (ANN) have been begin by using in various field and worked to build by developing of computer process to smilar thing of human. In this cases, Introducing of Neural network techniques were aimed to composed of estimation on relationship ideas by using radiology.

Özet

İnsanın düşünme yapısının benzerini bilgisayar işlemlerini geliştirerek yapmaya çalışmak olarak tanımlanmakta olan yapay zekâ günümüzde birçok alanda yaygın bir şekilde kullanılmaya başlanmıştır. Bu makalede yapay zekâ teknikleri tanıtılarak bu tekniklerin radyolojide kullanımlarına ilişkin görüşler ortaya konulması amaçlanmıştır.

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Cite This Article

SERHATLIOĞLU, S., HARDALAÇ, F. (2009). Techniques of artificial intelligence network (Ann) and applıed to radiology. Fırat Tıp Dergisi, Cilt: 14 - Sayı: 1, 1–6. https://ajindex.com/articles/223733

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