DETEKSI DAN KLASIFIKAS KELENJAR TUMOR TIROID BERDASARKAN GAMBARAN MIKROSKOPIS PATOLOGI ANATOMI BERBASIS CITRA DIGITAL MENGGUNAKAN METODE K-NN

MUHAMMAD RIFKY SALEH

Informasi Dasar

111051084
004.6
Karya Ilmiah - Skripsi (S1) - Reference

ABSTRAKSI: Kata Kunci : ABSTRACT: The development of medical technology world today requires us to create an innovation, as well as the method of classification of tumor types. Analysis conducted by the physician based on the preparation of samples. Previous research using a microscope which was seen visually by the human eye. Therefore need to be made a tool that can classify tumor types based on a sample images quickly and automatically, in order to obtain an accurate analysis and evidence. Expected at the end of the assignment is made of a system that can classify the type of tumor in the thyroid gland by pathologist Microscopic Anatomy-based image processing of digital images with an accuracy rate above 90%. So it can help paramedics to quickly see the type of tumor that attacks the thyroid gland.Keyword: Patology anatomy, Filter, Thresholding, Image analysis, K-NN

Subjek

Jaringan Multimedia
 

Katalog

DETEKSI DAN KLASIFIKAS KELENJAR TUMOR TIROID BERDASARKAN GAMBARAN MIKROSKOPIS PATOLOGI ANATOMI BERBASIS CITRA DIGITAL MENGGUNAKAN METODE K-NN
 
 
Indonesia

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Pengarang

MUHAMMAD RIFKY SALEH
Perorangan
Jangkung Raharjo, Suryo Adhi Wibowo
 

Penerbit

Universitas Telkom
Bandung
2012

Koleksi

Kompetensi

 

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