Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Matja Kukar"'
Autor:
Rok Rupnik, Matja Kukar
Modern organizations use several types of application systems to facilitate knowledge discovery and decision support. Transactional application systems usually have sophisticated reports presenting data by using concepts like sorting, grouping and da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40296f41577821b113a2a9c714bc700
https://doi.org/10.5772/39466
https://doi.org/10.5772/39466
Image processing and machine learning for fully automated probabilistic evaluation of medical images
Autor:
Matja Kukar, Luka Šajn
Publikováno v:
Computer methods and programs in biomedicine. 104(3)
The paper presents results of our long-term study on using image processing and data mining methods in a medical imaging. Since evaluation of modern medical images is becoming increasingly complex, advanced analytical and decision support tools are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aa5ffd64a13f88a31d4f4c0c66c2add
https://pubmed.ncbi.nlm.nih.gov/20846741
https://pubmed.ncbi.nlm.nih.gov/20846741
Publikováno v:
Computer methods and programs in biomedicine. 80(1)
Bone scintigraphy or whole-body bone scan is one of the most common diagnostic procedures in nuclear medicine used in the last 25 years. Pathological conditions, technically poor image resolution and artefacts necessitate that algorithms use sufficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::266cf915ba9c466f9eef2bad60fd7812
https://pubmed.ncbi.nlm.nih.gov/16040153
https://pubmed.ncbi.nlm.nih.gov/16040153
Autor:
Matja Kukar
Publikováno v:
Artificial intelligence in medicine. 29(1-2)
In the past decades, machine learning (ML) tools have been successfully used in several medical diagnostic problems. While they often significantly outperform expert physicians (in terms of diagnostic accuracy, sensitivity, and specificity), they are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3ac1e0127d03609cc6e0c6e0ea6258d
https://pubmed.ncbi.nlm.nih.gov/12957782
https://pubmed.ncbi.nlm.nih.gov/12957782
Publikováno v:
Artificial intelligence in medicine. 8(5)
We compare the performance of several machine learning algorithms in the problem of prognostics of the femoral neck fracture recovery: the K-nearest neighbours algorithm, the semi-naive Bayesian classifier, backpropagation with weight elimination lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd7c13407ca1870379f05e42d8e6eae6
https://pubmed.ncbi.nlm.nih.gov/8955855
https://pubmed.ncbi.nlm.nih.gov/8955855
Autor:
Matja Kukar
Publikováno v:
Artificial Intelligence in Medicine. 30:199
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc2a47d63852f04d8b491955ae0d1f0
https://doi.org/10.1016/j.artmed.2003.03.001
https://doi.org/10.1016/j.artmed.2003.03.001