Results 71 to 80 of about 43,537,585 (162)

Explainable Deep Learning for Breast Lesion Classification in Digital and Contrast-Enhanced Mammography

open access: yesDiagnostics
Background: Artificial intelligence (AI) emerges as a powerful tool to assist breast cancer screening; however, its integration into different mammographic modalities remains insufficiently explored.
Samara Acosta-Jiménez   +5 more
doaj   +1 more source

Human biomarker navigator

open access: yesiMeta, Volume 5, Issue 5, October 2026.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li   +29 more
wiley   +1 more source

Bridging the Knowledge–Practice Gap in Breast Cancer Awareness: A Nationwide Online Cross‐Sectional KAP Study Among Adult Females in Nigeria

open access: yesHealth Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Breast cancer (BCa) is a major cause of cancer morbidity and mortality among women in Nigeria, with late presentation contributing to poor outcomes. This study assessed knowledge, attitudes, and willingness to perform breast self‐examination (BSE) among adult females in Nigeria and examined associated factors.
Madinat Hassan   +12 more
wiley   +1 more source

A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi‐View Classification for Breast Cancer Detection in Mammograms

open access: yesInternational Journal of Imaging Systems and Technology, Volume 36, Issue 5, September 2026.
ABSTRACT Mammography, an X‐ray–based imaging technique, remains central to the early detection of breast cancer. Recent advances in artificial intelligence have enabled increasingly sophisticated computer‐aided diagnostic methods, evolving from patch‐based classifiers to whole‐image approaches and then to multi‐view architectures that jointly analyze ...
Daniel G. P. Petrini, Hae Yong Kim
wiley   +1 more source

Contrast-Enhanced Spectral Mammography [PDF]

open access: yes
Contrast-Enhanced Spectral Mammography (CESM) is an advanced breast imaging technique that enhances the detection and characterization of breast lesions, more specifically in patients with dense breast tissue where conventional mammography is limited ...
Vega, Alyza
core   +1 more source

Alignment of contrast enhanced medical images [PDF]

open access: yes, 2009
The re-alignment of series of medical images in which there are multiple contrast variations is difficult. The reason for this is that the popularmeasures of image similarity used to drive the alignment procedure do not separate the influence of ...
Melbourne, A.
core  

Contrast-enhanced spectral mammography (CESM)

open access: yes, 2018
Contrast-enhanced spectral mammography (CESM) is a valuable tool in the diagnosis and staging of primary breast cancer. It combines an iodinated contrast agent with conventional mammography to improve diagnostic accuracy, particularly in women with ...
Tennant, Sarah L., James, Jonathan
core   +1 more source

Current situation and future perspectives of digital mammography

open access: yes, 2008
Digital mammography has extensively replaced conventional film screen mammography and is now the standard in combination with soft copy reading in clinical as well as screening mammography.
Hermann, K.-P.   +3 more
core   +1 more source

Validation of Contrast-Enhanced Mammography as Breast Imaging Modality Compared to Standard Mammography and Digital Breast Tomosynthesis

open access: yesDiagnostics
Contrast-enhanced mammography (CEM) is a relatively new imaging technique that allows morphologic, anatomic and functional imaging of the breast. The aim of our study was to validate contrast-enhanced mammography (CEM) compared to mammography (MMG) and ...
Nina Bartolović   +5 more
doaj   +1 more source

Diagnostic accuracy of contrast-enhanced digital mammography in comparison with sonomammography for characterization of focal asymmetries

open access: yesThe Egyptian Journal of Radiology and Nuclear Medicine, 2020
Background Mammographic focal asymmetry represents normal breast tissue, benign, or malignant lesions. Accurate characterization is important for better management.
Gelan Ali Mahmoud Soliman   +3 more
doaj   +1 more source

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