Autor: Hippe, Z. S. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Computer database "NEVI" on endangerment by melanoma
Autorzy:: Hippe, Z. S.
Powiązania:: https://bibliotekanauki.pl/articles/1954504.pdf
Data publikacji:: 1999
Wydawca:: Politechnika Gdańska
Tematy:: nevi pigmentosi
classification
virtual visualization
TDS
Opis:: A database containing statistically meaningful numbers of carefully verified cases of nevi pigmentosi (in four categories: benign nevus, blue nevus, suspicious nevus, and malignant melanoma) is described. Various experiments of controlled data mining were performed in order to gain insight into the interpretation of the TDS (total dermatoscopic score) coefficient, which is broadly used in the initial classification of endangerment by melanoma tumours.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 1999, 3, 4; 483-488
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Diagnosing skin melanoma: current versus future directions
Autorzy:: Hippe, Z. S.
Bajcar, S.
Blajdo, P.
Grzymała-Busse, J. P.
Grzymała-Busse, J. W.
Knap, M.
Paja, W.
Wrzesień, M.
Powiązania:: https://bibliotekanauki.pl/articles/1954638.pdf
Data publikacji:: 2003
Wydawca:: Politechnika Gdańska
Tematy:: melanoma
TDS
machine learning in diagnosis
Opis:: A new database containing 410 cases of nevi pigmentosi, in four categories: benign nevus, blue nevus, suspicious nevus and melanoma malignant, carefully verified by histopathology, is described. The database is entirely different from the base presented previously, and can be readily used for research based on the so-called constructive induction in machine learning. To achieve this, the database features a different set of thirteen descriptive attributes, with a fourteenth additional attribute computed by applying values of the remaining thirteen attributes. In addition, a new program environment for the validation of computer-assisted diagnosis of melanoma, is briefly discussed. Finally, results are presented on determining optimal coefficients for the well-known ABCD formula, useful for melanoma diagnosis.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2003, 7, 2; 289-293
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

Artykuł

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