Prototype of a System to Assist the Urologist in the Recognition of Urinary Bladder Tumors in MRI Images

The proposal aims to develop a prototype system to detect possible bladder tumors. The system Will use image processing techniques, computer vision, segmentation, pattern recognition and machine learning. The prototype Will load images of the urinary bladder (hollow, distensible muscular organ) and...

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Vydáno v:Proceedings ... International Conference on Soft Computing & Machine Intelligence ISCMI ... (Online) s. 113 - 117
Hlavní autoři: Juarez Martinez, Ares Ulises, Puebla Lomas, Jaime Hugo, Serrano Talamantes, Jose Felix
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 25.11.2023
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ISSN:2640-0146
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Abstract The proposal aims to develop a prototype system to detect possible bladder tumors. The system Will use image processing techniques, computer vision, segmentation, pattern recognition and machine learning. The prototype Will load images of the urinary bladder (hollow, distensible muscular organ) and obtain a classification of possible bladder tumors.
AbstractList The proposal aims to develop a prototype system to detect possible bladder tumors. The system Will use image processing techniques, computer vision, segmentation, pattern recognition and machine learning. The prototype Will load images of the urinary bladder (hollow, distensible muscular organ) and obtain a classification of possible bladder tumors.
Author Serrano Talamantes, Jose Felix
Puebla Lomas, Jaime Hugo
Juarez Martinez, Ares Ulises
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  givenname: Ares Ulises
  surname: Juarez Martinez
  fullname: Juarez Martinez, Ares Ulises
  email: ajuarezm1502@alumno.ipn.mx
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  givenname: Jaime Hugo
  surname: Puebla Lomas
  fullname: Puebla Lomas, Jaime Hugo
  email: jpuebla@ipn.mx
  organization: Computational ESCOM-IPN,Dept. Systems Engineering,Mexico City
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  givenname: Jose Felix
  surname: Serrano Talamantes
  fullname: Serrano Talamantes, Jose Felix
  email: jfserranol@ipn.mx
  organization: CIDETEC-IPN,Virtual Reality Lab,Mexico City
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Snippet The proposal aims to develop a prototype system to detect possible bladder tumors. The system Will use image processing techniques, computer vision,...
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StartPage 113
SubjectTerms artificial intelligence
Bladder
Data models
image processing
Image recognition
Machine learning
Magnetic resonance
Magnetic resonance imaging
Prototypes
segmentation
urinary bladder
Title Prototype of a System to Assist the Urologist in the Recognition of Urinary Bladder Tumors in MRI Images
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