Explainable Fuzzy Texture Words Model for Automatic Bone Fracture Identification

Sovatzidi, Georgia; Gatoula, Panagiota; Vasilakakis, Michael; Iakovidis, Dimitris K.

doi:10.1109/ist50367.2021.9651362

Cited by 3 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another obstacle is that the 'black box' approaches are not explainable, in the sense that the clinicians cannot understand the reasons for the inferences of a ML system. Efforts dealing with this challenging issue are still limited [87].…”

Section: Current and Future Challengesmentioning

confidence: 99%

Roadmap on signal processing for next generation measurement systems

Iakovidis

Ooi

Kuang

et al. 2021

Meas. Sci. Technol.

View full text Add to dashboard Cite

Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, images, and video sequences comprise representative forms of signals that can be enhanced and analysed for information extraction and quantification. The recent advances in artificial intelligence and machine learning are shifting the research attention towards intelligent, data-driven, signal processing. This roadmap presents a critical overview of the state-of-the-art methods and applications aiming to highlight future challenges and research opportunities towards next generation measurement systems. It covers a broad spectrum of topics ranging from basic to industrial research, organized in concise thematic sections that reflect the trends and the impacts of current and future developments per research field. Furthermore, it offers guidance to researchers and funding agencies in identifying new prospects.

show abstract

Section: Current and Future Challengesmentioning

confidence: 99%