Skip to main content

2021 | OriginalPaper | Buchkapitel

Detection of Brain Tumor Using Image Processing and Neural Networks

verfasst von : Vanshika Dhillo, Dipti Sakhare, Shilpa Rudrawar

Erschienen in: Techno-Societal 2020

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Artificial Intelligence (AI) is an umbrella consisting of many small blocks like machine learning, evolution computation, robotics, vision, natural language process and planning, speech processing etc. In the past years AI has developed a lot and given its share to make human life better, easy and compact. The word “technology” is a term which can be defined in many ways. The definition of the word keeps evolving with the continuous development in various fields. Decades ago, it used to take an entire room to accommodate a single computer but now we use the same computer at the ease of our fingertips. With the rapid development in technology mankind’s expectations and needs have also increased. Human race demands accurate results in less time with easier methods. The current rapidly developing field is AI which has also shown some extra ordinary results like the robot Sophie, Alexa, Siri etc. Mankind has very willingly adapted the use of AI in daily life and wants to excel more in the field. Neural Networks which is a very small section of AI but can be used vastly in various fields. The healthcare section has also improved its facilities and increased life expectancy. The motive behind this project is to use neural networks in the medical field for greater accuracy and instant results.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
5.
Zurück zum Zitat Yazid MHA, Satria MH, Talib S, Azman N (2018) Artificial neural network parameter tuning framework for heart disease classification. In: 5th International conference on electrical engineering, computer science and informatics (EECSI), Malang, Indonesia, pp 674–679. https://doi.org/10.1109/EECSI.2018.8752821 Yazid MHA, Satria MH, Talib S, Azman N (2018) Artificial neural network parameter tuning framework for heart disease classification. In: 5th International conference on electrical engineering, computer science and informatics (EECSI), Malang, Indonesia, pp 674–679. https://​doi.​org/​10.​1109/​EECSI.​2018.​8752821
6.
Zurück zum Zitat Ai H, Fang M, Lvov YM, Mills DK, Jones SA (2002) Applications of the electrostatic layer-by-layer self-assembly technique in biomedical engineering. In: Proceedings of the second joint 24th annual conference and the annual fall meeting of the biomedical engineering society] [engineering in medicine and biology, Houston, TX, USA, vol 1, pp 502–503. https://doi.org/10.1109/IEMBS.2002.1136916 Ai H, Fang M, Lvov YM, Mills DK, Jones SA (2002) Applications of the electrostatic layer-by-layer self-assembly technique in biomedical engineering. In: Proceedings of the second joint 24th annual conference and the annual fall meeting of the biomedical engineering society] [engineering in medicine and biology, Houston, TX, USA, vol 1, pp 502–503. https://​doi.​org/​10.​1109/​IEMBS.​2002.​1136916
7.
9.
Zurück zum Zitat Banowati C, Novianty A, Setianingsih C (2019) Cholesterol level detection based on iris recognition using convolutional neural network method. In: IEEE Conference on sustainable utilization and development in engineering and technologies (CSUDET), Penang, Malaysia, pp 116–121. https://doi.org/10.1109/CSUDET47057.2019.9214690 Banowati C, Novianty A, Setianingsih C (2019) Cholesterol level detection based on iris recognition using convolutional neural network method. In: IEEE Conference on sustainable utilization and development in engineering and technologies (CSUDET), Penang, Malaysia, pp 116–121. https://​doi.​org/​10.​1109/​CSUDET47057.​2019.​9214690
Metadaten
Titel
Detection of Brain Tumor Using Image Processing and Neural Networks
verfasst von
Vanshika Dhillo
Dipti Sakhare
Shilpa Rudrawar
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-69921-5_25

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.