Towards early bowel cancer detection: A data driven dynamic method of lesions characterization using a robotic capsule

Recent advances in miniaturised, dynamically actuated micro-robots have opened new possibilities for non-visual, in-situ disease diagnosis. This study introduces a method for early bowel cancer detection using a self-propelled robotic capsule autonomously navigating the bowel and identifying maligna...

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Vydané v:	2025 30th International Conference on Automation and Computing (ICAC) s. 1 - 6
Hlavní autori:	Afebu, Kenneth Omokhagbo, Liu, Yang, Papatheou, Evangelos, Prasad, Shyam
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 27.08.2025
Predmet:	Accuracy Artificial networks Biomechanical evaluation Biomechanics Bowel cancer Cancer detection Capsule robot Computational modeling Data models Early diagnosis Lesions Support vector machines Uncertainty Vibrations Visualization
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