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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Bibliographic Details
Published in:Proceedings ... International Conference on Soft Computing & Machine Intelligence ISCMI ... (Online) pp. 113 - 117
Main Authors: Juarez Martinez, Ares Ulises, Puebla Lomas, Jaime Hugo, Serrano Talamantes, Jose Felix
Format: Conference Proceeding
Language:English
Published: IEEE 25.11.2023
Subjects:
artificial intelligence
Bladder
Data models
image processing
Image recognition
Machine learning
Magnetic resonance
Magnetic resonance imaging
Prototypes
segmentation
urinary bladder
ISSN:2640-0146
Online Access:Get full text
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Summary: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.
ISSN:2640-0146
DOI:10.1109/ISCMI59957.2023.10458459