Tadeusiewicz, Ryszard ; Ogiela, Marek R.
Korbicz, Józef - red. ; Uciński, Dariusz - red.
The paper presents a new technique for cognitive analysis and recognition of pathological wrist bone lesions. This method uses AI techniques and mathematical linguistics allowing us to automatically evaluate the structure of the said bones, based on palm radiological images. Possibilities of computer interpretation of selected images, based on the methodology of automatic medical image understanding, as introduced by the authors, were created owing to the introduction of an original relational description of individual palm bones. ; This description was built with the use of graph linguistic formalisms already applied in artificial intelligence. The research described in this paper demonstrates that for the needs of palm bone diagnostics, specialist linguistic tools such as expansive graph grammars and EDT-label graphs are particularly well suited. ; Defining a graph image language adjusted to the specific features of the scientific problem described here permitted a semantic description of correct palm bone structures. It also enabled the interpretation of images showing some in-born lesions, such as additional bones or acquired lesions such as their incorrect junctions resulting from injuries and synostoses.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 15, number 2 (2005) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Sep 7, 2021
Aug 20, 2020
|Picture languages in automatic radiological palm interpretation||Sep 7, 2021|
Śmietański, Jacek Tadeusiewicz, Ryszard Łuczyńska, Elżbieta Korbicz, Józef - red. Uciński, Dariusz - red.
Tadeusiewicz, Ryszard Mikrut, Zbigniew Tadeusiewicz, Ryszard - red. Rutkowski, Leszek - red. Korbicz, Józef - red.