Nuchal translucency identification using artificial neural network [electronic resource] /

Project Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik Perubatan)) - Universiti Teknologi Malaysia, 2009

Xehetasun bibliografikoak
Egile nagusia: Nuraini Huda Abdul Kadir, 1986-
Formatua:
Hizkuntza:eng
Argitaratua: 2009
Gaiak:
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author Nuraini Huda Abdul Kadir, 1986-
author_facet Nuraini Huda Abdul Kadir, 1986-
author_sort Nuraini Huda Abdul Kadir, 1986-
collection OCEAN
description Project Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik Perubatan)) - Universiti Teknologi Malaysia, 2009
first_indexed 2024-03-05T08:13:59Z
format
id KOHA-OAI-TEST:394682
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T08:13:59Z
publishDate 2009
record_format dspace
spelling KOHA-OAI-TEST:3946822020-12-19T17:13:47ZNuchal translucency identification using artificial neural network [electronic resource] / Nuraini Huda Abdul Kadir, 1986- 2009engProject Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik Perubatan)) - Universiti Teknologi Malaysia, 2009Includes bibliographical referencesPSZJBLFetusImage processing
spellingShingle Fetus
Image processing
Nuraini Huda Abdul Kadir, 1986-
Nuchal translucency identification using artificial neural network [electronic resource] /
title Nuchal translucency identification using artificial neural network [electronic resource] /
title_full Nuchal translucency identification using artificial neural network [electronic resource] /
title_fullStr Nuchal translucency identification using artificial neural network [electronic resource] /
title_full_unstemmed Nuchal translucency identification using artificial neural network [electronic resource] /
title_short Nuchal translucency identification using artificial neural network [electronic resource] /
title_sort nuchal translucency identification using artificial neural network electronic resource
topic Fetus
Image processing
work_keys_str_mv AT nurainihudaabdulkadir1986 nuchaltranslucencyidentificationusingartificialneuralnetworkelectronicresource