Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sabiq Muhtadi"'
Combined B-mode and Nakagami Images for Improved Discrimination of Breast Masses using Deep Learning
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dadf363ce2e6a09efd0a33db1460093a
https://doi.org/10.1109/ius54386.2022.9957624
https://doi.org/10.1109/ius54386.2022.9957624
Autor:
Sabiq Muhtadi, Hamim Hamid
Publikováno v:
2021 13th Biomedical Engineering International Conference (BMEiCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cba0804b7eb0832a35f36b889c09c54
https://doi.org/10.1109/bmeicon53485.2021.9745204
https://doi.org/10.1109/bmeicon53485.2021.9745204
Publikováno v:
2021 IEEE National Biomedical Engineering Conference (NBEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::169e75dfa9b9152c761b816116401077
https://doi.org/10.1109/nbec53282.2021.9618762
https://doi.org/10.1109/nbec53282.2021.9618762
Autor:
Sabiq Muhtadi
Publikováno v:
Computational and mathematical methods in medicine. 2022
Breast cancer is a global epidemic, responsible for one of the highest mortality rates among women. Ultrasound imaging is becoming a popular tool for breast cancer screening, and quantitative ultrasound (QUS) techniques are being increasingly applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6c56f9c5f9ed1d2b71bce6827d942ca
https://pubmed.ncbi.nlm.nih.gov/35295204
https://pubmed.ncbi.nlm.nih.gov/35295204
Autor:
Asif Newaz, Sabiq Muhtadi
Publikováno v:
ICIT
Machine learning models are gaining popularity for its application on a wide range of medical diagnosis tasks. It is essential to make accurate predictions for such tasks as decisions have the potential to make a huge impact for the patient, even red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0f2e022e9e453d22c1374839252c5ff
https://doi.org/10.1109/icit52682.2021.9491739
https://doi.org/10.1109/icit52682.2021.9491739
Autor:
Athanasios Angelakis, Sabiq Muhtadi
Publikováno v:
Journal of Ultrasound in Medicine. 40
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6684aa7905ab4a65e54194c3c87985b5
https://doi.org/10.1002/jum.15752
https://doi.org/10.1002/jum.15752
Autor:
Sabiq Muhtadi
Publikováno v:
Ultrasonic Imaging. 41:131-172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a145fb0d1e5940fe3fba2e0621e7cdea
https://doi.org/10.1177/0161734619842019
https://doi.org/10.1177/0161734619842019
Autor:
Ahmad Chowdhury, Rezwana R. Razzaque, Sabiq Muhtadi, Ahmad Shafiullah, Ehsan Ul Islam Abir, Brian S. Garra, S. Kaisar Alam
Publikováno v:
Ultrasonics. 124:106744
In this study we investigate the potential of parametric images formed from ultrasound B-mode scans using the Nakagami distribution for non-invasive classification of breast lesions and characterization of breast tissue. Through a sliding window tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52e008e1e0ccd44c3196dbe500c52121
https://doi.org/10.1016/j.ultras.2022.106744
https://doi.org/10.1016/j.ultras.2022.106744
Publikováno v:
Knowledge-Based Systems. 245:108634
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46aa099a33a8ba04e4c60c02b003aae5
https://doi.org/10.1016/j.knosys.2022.108634
https://doi.org/10.1016/j.knosys.2022.108634