Výsledky vyhledávání - "Shan Khazendar"

Akademický článek

Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images.

Autor: José Martínez-Más, Andrés Bueno-Crespo, Shan Khazendar, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán, Sabah Jassim, Hongbo Du, Hisham Al Assam, Tom Bourne, Dirk Timmerman

Publikováno v: PLoS ONE, Vol 14, Iss 7, p e0219388 (2019)

IntroductionOvarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian t

Externí odkaz: https://doaj.org/article/de4c3fdba1fb4805b269b0ca370b7ae9

Zobrazit plný text záznamu

Plný text ve formátu HTML

Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images

Autor: Juan-Pedro Martínez-Cendán, Manuel Remezal-Solano, Dirk Timmerman, José Martínez-Más, Hongbo Du, Tom Bourne, Shan Khazendar, Sabah Jassim, Hisham Al Assam, Andrés Bueno-Crespo

Publikováno v: PLoS ONE
PLoS ONE, Vol 14, Iss 7, p e0219388 (2019)

INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a029888128e0d3cb56af0b7dbaeaaff
https://lirias.kuleuven.be/handle/123456789/640629

Zobrazit plný text záznamu

Automated classification of static ultrasound images of ovarian tumours based on decision level fusion

Autor: J. Kaijser, Shan Khazendar, Dirk Timmerman, Hisham Al-Assam, A. Sayasneh, Hongbo Du, Sabah Jassim, Tom Bourne

Publikováno v: 2014 6th Computer Science and Electronic Engineering Conference (CEEC).

Ovarian cancer is the most deadly cancer of the female reproductive system. Early detection of ovarian carcinoma continues to be a challenging task. Manual classifications are generally based on subjective assessment by experts, which may result in d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84e787006f693e31518b04dbbdbdcdb2
https://doi.org/10.1109/ceec.2014.6958571

Zobrazit plný text záznamu

Automatic segmentation and classification of gestational sac based on mean sac diameter using medical ultrasound image

Autor: Hongbo Du, A. Sayasneh, Sabah Jassim, Tom Bourne, Shan Khazendar, Hisham Al-Assam, J. Farren

Publikováno v: SPIE Proceedings.

Ultrasound is an effective multipurpose imaging modality that has been widely used for monitoring and diagnosing early pregnancy events. Technology developments coupled with wide public acceptance has made ultrasound an ideal tool for better understa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64510b45f3ffb9fa9388dfad1af0cee0
https://doi.org/10.1117/12.2057720

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání