Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation

Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation

While performing a colonoscopy, there are many tasks to be done: finding polyps, classifying them, and deciding the next procedure for the polyps, whether to incise them or not. Such tasks are challenging for fellow doctors. All these three tasks can have an intrapersonal error, which varies among e...

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Bibliographic Details
Main Authors: Phanukorn Sunthornwetchapong, Kasichon Hombubpha, Kasenee Tiankanon, Satimai Aniwan, Pasit Jakkrawankul, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Colonic polyp
deep learning
real-time image classification
real-time object detection
real-time size estimation
Online Access:https://ieeexplore.ieee.org/document/10835090/
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https://ieeexplore.ieee.org/document/10835090/

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