Abstract
Nowadays, Computer-aided detection (CAD) systems are used to assist radiologists to detect colonic polyps. In this work, we aimed to develop convolutional neural network based classification system for automated detection of polyps. 2D projection images of polyps were used as the input of convolutional neural network. Our classification system performs at 91.89% sensitivity for polyps with 0 false positives per dataset.
Keywords
Computer science
Convolutional neural network
Artificial intelligence
Projection (relational algebra)
Pattern recognition (psychology)
Image (mathematics)
Contextual image classification
Computer vision
Algorithm
Subject Areas
Radiomics and Machine Learning in Medical Imaging
·Radiology, Nuclear Medicine and Imaging ·Health Sciences
Citations by Year
2022: 2
2024: 1
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