Availability and accessibility of subsidized mammogram screening program in peninsular Malaysia: A preliminary study using travel impedance approach. [PDF]
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
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Healthcare providers' (HCPs) perspectives in initiating discussion on mammogram screening, and their perceived barriers and enablers to screening in women-A qualitative study. [PDF]
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
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Anxiety Levels Among Women Undergoing Mammogram Screening [PDF]
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
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Culture Is Key: Engaging Culturally and Linguistically Diverse Populations in Breast Cancer Screening in High Income Contexts: A Scoping Review [PDF]
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
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Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection [PDF]
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
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]
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
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Image Augmentation Techniques for Mammogram Analysis
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
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Two-Stage Deep Learning Method for Breast Cancer Detection Using High-Resolution Mammogram Images
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
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