Results 1 to 10 of about 77,670 (220)

Availability and accessibility of subsidized mammogram screening program in peninsular Malaysia: A preliminary study using travel impedance approach. [PDF]

open access: yesPLoS ONE, 2018
Access to healthcare is essential in the pursuit of universal health coverage. Components of access are availability, accessibility (spatial and non-spatial), affordability and acceptability.
Aidalina Mahmud, Syed Mohamed Aljunid
doaj   +2 more sources

Healthcare providers' (HCPs) perspectives in initiating discussion on mammogram screening, and their perceived barriers and enablers to screening in women-A qualitative study. [PDF]

open access: yesPLoS ONE
BackgroundBreast cancer is the most common cancer in women, and mammogram screening can reduce breast cancer mortality. Healthcare providers' perspectives can have an impact on encouraging females to attend mammogram screening.ObjectiveTo understand ...
Xuefei Wang   +6 more
doaj   +2 more sources

Anxiety Levels Among Women Undergoing Mammogram Screening [PDF]

open access: yesCurrent Oncology
Breast cancer is the leading cause of death among women around the world. In Saudi Arabia, breast cancer remains a challenging health problem which accounted for 31.7% of all cancer cases in Saudi females, with an age-standardized incidence rate (ASR) of
Wedad M. Almutairi   +1 more
doaj   +2 more sources

Culture Is Key: Engaging Culturally and Linguistically Diverse Populations in Breast Cancer Screening in High Income Contexts: A Scoping Review [PDF]

open access: yesCancer Medicine
Background Breast cancer is the most commonly diagnosed cancer in Australia and is the second highest cause of cancer mortality in Australian women. Screening in the form of mammography can significantly reduce mortality; however, research suggests that ...
Karla Jaques   +5 more
doaj   +2 more sources

Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Mammogram mass detection is crucial for diagnosing and preventing the breast cancers in clinical practice. The complementary effect of multi-view mammogram images provides valuable information about the breast anatomical prior structure and is of great ...
Yuhang Liu   +5 more
semanticscholar   +1 more source

Vision-Transformer-Based Transfer Learning for Mammogram Classification

open access: yesDiagnostics, 2023
Breast mass identification is a crucial procedure during mammogram-based early breast cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or cancerous at early stages.
Gelan Ayana   +9 more
semanticscholar   +1 more source

Morphological and Distribution Pattern of Calcifications on Full Field Digital Mammography versus Digital Breast Tomosynthesis and Comparison of Diagnostic Abilities of the Two Modalities: A Retrospective Study [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2023
Introduction: Microcalcification (MC) is an effective and sometimes the only indicator of breast cancer. Early detection and characterisation of malignant MC can facilitate early diagnosis and timely treatment of breast cancer.
Neha Singh   +3 more
doaj   +1 more source

Image Augmentation Techniques for Mammogram Analysis

open access: yesJournal of Imaging, 2022
Research in the medical imaging field using deep learning approaches has become progressively contingent. Scientific findings reveal that supervised deep learning methods’ performance heavily depends on training set size, which expert radiologists must ...
P. Oza   +4 more
semanticscholar   +1 more source

Two-Stage Deep Learning Method for Breast Cancer Detection Using High-Resolution Mammogram Images

open access: yesApplied Sciences, 2022
Breast cancer screening and detection using high-resolution mammographic images have always been a difficult task in computer vision due to the presence of very small yet clinically significant abnormal growths in breast masses.
Bunyodbek Ibrokhimov   +1 more
semanticscholar   +1 more source

Performance Evaluation of Deep Learning Models on Mammogram Classification Using Small Dataset

open access: yesBioengineering, 2022
Cancer is the second leading cause of death globally, and breast cancer (BC) is the second most reported cancer. Although the incidence rate is reducing in developed countries, the reverse is the case in low- and middle-income countries.
A. Adedigba   +2 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy