Structured Knowledge Representation for Image Retrieval

Autor: Di Sciascio, E., Donini, F. M., Mongiello, M.

Publikováno v: Journal Of Artificial Intelligence Research, Volume 16, pages 209-257, 2002

We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of images containing complex objects. As other approaches do, we start fro

Externí odkaz: http://arxiv.org/abs/1109.1498

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis.

Autor: Lombardi A; Department of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy. Electronic address: angela.lombardi@poliba.it., Arezzo F; Gynecologic Oncology Unit, Interdisciplinar Department of Medicine, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy., Di Sciascio E; Department of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy., Ardito C; Department of Engineering, LUM 'Giuseppe Degennaro' University, Casamassima, Bari, Italy., Mongelli M; Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari 'Aldo Moro', Bari, Italy., Di Lillo N; Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari 'Aldo Moro', Bari, Italy., Fascilla FD; Obstetrics and Gynecology Unit, Di Venere Hospital, Bari, Italy., Silvestris E; Gynecologic Oncology Unit, Interdisciplinar Department of Medicine, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy., Kardhashi A; Gynecologic Oncology Unit, Interdisciplinar Department of Medicine, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy., Putino C; Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari 'Aldo Moro', Bari, Italy., Cazzolla A; Gynecologic Oncology Unit, Interdisciplinar Department of Medicine, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy., Loizzi V; Gynecologic Oncology Unit, Interdisciplinar Department of Medicine, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy; Interdisciplinar Department of Medicine, University of Bari 'Aldo Moro', Bari, Italy., Cazzato G; Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari 'Aldo Moro', Bari, Italy., Cormio G; Gynecologic Oncology Unit, Interdisciplinar Department of Medicine, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy; Interdisciplinar Department of Medicine, University of Bari 'Aldo Moro', Bari, Italy., Di Noia T; Department of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy.

Publikováno v: Artificial intelligence in medicine [Artif Intell Med] 2023 Dec; Vol. 146, pp. 102697. Date of Electronic Publication: 2023 Nov 03.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.