Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shantini Arasaratnam"'
Autor:
Ahmad, Noorzuliana1 (AUTHOR), Shantini, Arasaratnam A.2 (AUTHOR), Rizuana, Iqbal Hussain1 (AUTHOR) rizi7886@gmail.com, Rohaizak, Muhammad3 (AUTHOR)
Publikováno v:
Diagnostics (2075-4418). Sep2022, Vol. 12 Issue 9, pN.PAG-N.PAG. 4p.
Autor:
Ashwaq Qasem, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran, Dheeb Albashish, Shidrokh Goudarzi, Shantini Arasaratnam
Publikováno v:
Neural Computing and Applications. 34:10093-10116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15747ef130381ed6f95cf15d1d0dd2d6
https://doi.org/10.1007/s00521-022-06995-y
https://doi.org/10.1007/s00521-022-06995-y
Autor:
Norhashimah Mohd Norsuddin, Justine Go Mei Sin, Rathieswari Ravintaran, Shantini Arasaratnam, Muhammad Khalis Abdul Karim
Publikováno v:
Applied Radiation and Isotopes. 192:110525
This study compares the mean glandular dose (MGD) across 2D, 3D projection and Contrast-Enhanced Digital Mammography (CEDM) mammographic techniques. The important metadata were extracted from the digital mammography console. 650 subjects were cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1890f30a75acfdc1d6d31b102695a52d
https://doi.org/10.1016/j.apradiso.2022.110525
https://doi.org/10.1016/j.apradiso.2022.110525
Publikováno v:
Contrast-Enhanced Digital Mammography (CEDM) ISBN: 9783319945521
The principle behind CEDM is similar to that of breast magnetic resonance imaging as they both assess tumour neoangiogenesis; therefore, with some exceptions, most of the indications for breast MRI apply to CEDM.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88f1b5298828fc57b909a2f9611cc0be
https://doi.org/10.1007/978-3-319-94553-8_7
https://doi.org/10.1007/978-3-319-94553-8_7
Autor:
Shahnorbanun Sahran, Shantini Arasaratnam, Dheeb Albashish, Ashwaq Qasem, Siti Norul Huda Sheikh Abdullah, Rizuana Iqbal Hussain
Publikováno v:
International Journal of Advanced Computer Science and Applications. 9
In mammogram, masses are primary indication of breast cancer; and it is necessary to classify them as malignant or benign. In this classification task, Computer Aided Diagnostic (CAD) system by using ensemble learning is able to assist radiologists t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b46ec27c81537f88287cee09e5b90b
https://doi.org/10.14569/ijacsa.2018.091234
https://doi.org/10.14569/ijacsa.2018.091234