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Detection and Classification of Tumors Using Medical Imaging Techniques: A Survey

  • Sheetal GargEmail author
  • S. R. Bhagyashree
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 33)

Abstract

Cancer (tumors) is the cause of every sixth death around the world. This makes cancer a second leading cause of death. Globally 42 million people across the world suffer from cancer and this figure is continuously increasing. In India around 2.5 million people are suffering from different types of cancer. If detected in early stage, then with proper treatment it can be cured. This paper presents details of a few methods used for detection of diseases like Breast cancer, brain tumor, liver cancer, lung cancer and Spine tumor. This paper also speaks about the different machine learning techniques used to classify the diseases into malignant & benign.

Keywords

Positron Emission Tomography/Computed Tomography (PET/CT) Magnetic Resonance Imaging (MRI) Artificial Neural Network (ANN) Fuzzy c means classifier Support Vector Machine (SVM) Region of interest 

Notes

Acknowledgement

We would like to sincerely thank the management of MVJ College of Engineering, Benguluru for their eternal help and support. We would also like to thank Principal and management of ATME College of Engineering, Mysuru for their eternal help and support.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.ATME College of EngineeringMysuruIndia
  2. 2.Department of Computer Science and EngineeringMVJ College of EngineeringBangaloreIndia
  3. 3.Electronics and Communication Engineering DepartmentATME College of EngineeringMysuruIndia

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