Zobrazeno 1 - 10
of 4 904
pro vyhledávání: '"mammogram"'
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 04, Pp 595-619 (2024)
Due to the diversity of image sources, content-based multi-source image fusion and retrieval have shown promising capabilities in computer vision tasks, and especially when applied in Computer-Aided Diagnosis (CAD) to automate and improve the accurac
Externí odkaz:
https://doaj.org/article/4c9aa1cad8eb497da908b4bed60f3b6d
Autor:
Sahar Mansour, Enas Sweed, Mohammed Mohammed Mohammed Gomaa, Samar Ahmed Hussein, Engy Abdallah, Yassmin Mohamed Nada, Rasha Kamal, Ghada Mohamed, Sherif Nasser Taha, Amr Farouk Ibrahim Moustafa
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-14 (2024)
Abstract Background Although artificial intelligence (AI) has potential in the field of screening of breast cancer, there are still issues. It is vital to make sure AI does not overlook cancer or cause needless recalls. The aim of this work was to in
Externí odkaz:
https://doaj.org/article/e5669967238a4de992fee4358b7c765d
Autor:
Francesca Patterson, Melina A. Kunar
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-13 (2024)
Abstract Computer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where
Externí odkaz:
https://doaj.org/article/a6a1673688fa4f248b118459b02073ac
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-11 (2024)
Abstract Background Contrast-enhanced mammography (CEM) is a recently developed, cost-effective imaging technique that offers both anatomical and functional breast imaging. Lesion conspicuity, a newly introduced lexicon in the ACR BIRADS supplementar
Externí odkaz:
https://doaj.org/article/2213091f016f499b8edc5239b16e96cb
Autor:
Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, V. Vinoth Kumar, T. R. Mahesh, Ahlam Almusharraf, Eid Albalawi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Breast cancer has become the leading cause of cancer mortality among women worldwide. The timely diagnosis of such cancer is always in demand among researchers. This research pours light on improving the design of computer-aided detection (C
Externí odkaz:
https://doaj.org/article/b1bc3f6060644f508ed0d0468f0b6174
Publikováno v:
Current Oncology, Vol 31, Iss 7, Pp 3939-3948 (2024)
(1) Purpose: The purpose of this study was to describe the outcomes of diagnostic breast imaging and the incidence of delayed breast cancer diagnosis in the study population. (2) Methods: We collected the outcome data from diagnostic mammograms and/o
Externí odkaz:
https://doaj.org/article/fffb3fe6962a416a8bdd1e0a78bbdd46
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 34, Iss 03, Pp 522-532 (2024)
False-negative mammograms are a part of any screening program and the National Breast Screening Program in the United Kingdom is no exception. Every year, 2.5 million women have screening mammograms in the United Kingdom. Around 8 per 1,000 women scr
Externí odkaz:
https://doaj.org/article/9d83c20cdfbf4ef080c99eacb5cf6f3e
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 21, Iss 1, Pp 46-58 (2024)
In recent years, there has been a notable increase in interest regarding intelligent classification techniques rooted in Machine Learning within the domain of medical science. Specifically, machine learning, a pivotal area of artificial intelligence,
Externí odkaz:
https://doaj.org/article/0adaf750cf234795b8b141f2147e4289
Autor:
Mahmoud Al-Balas, Hamzeh Al-Balas, Zain AlAmer, Ghadeer Al-Taweel, Aseel Ghabboun, Farh Al Bzoor, Sumaia Abumkarab, Tala Abu Bakr, Batool Eleiwat
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Introduction Breast cancer is a significant public health concern in Jordan. It is the most common cancer among Jordanian women. Despite its high incidence and advanced stage at time of diagnosis, the uptake of breast cancer screening in Jor
Externí odkaz:
https://doaj.org/article/db5a5036d8354370a4240ac22c46d040