Results 101 to 110 of about 29,543 (232)

Time-interval visual saliency prediction in mammogram reading [PDF]

open access: yes
Radiologists’ eye movements during medical image interpretation reflect their perceptual-cognitive behaviour and correlate with diagnostic decisions.
White, Richard   +4 more
core   +1 more source

A probabilistic approach for the simultaneous mammogram registration and abnormality detection

open access: yes, 2006
International audienceA probabilistic approach for the simultaneous mammogram registration and abnormality ...
Hachama, Mohamed   +5 more
core   +1 more source

Early Breast Cancer Tumor Detection on Mammogram Images

open access: yes, 2014
This paper describes a system that enhances the mammogram to detect the possible lesion or tumor. First the pre-processing task is performed on the mammogram.
Naishil N. Shah, Tushar V. Ratanpara
core  

Active Contour Lankton untuk Segmentasi Kanker Payudara pada Citra Mammogram

open access: yes, 2019
Mammografi merupakan salah satu alat terbaik sampai saat ini untuk melakukan deteksi dini terhadap keberadaan kanker  payudara. Penggunaan mammografi efektif menurunkan tingkat kematian akibat kanker payudara sebesar 30% sampai 70%.
Hermawan, Edy
core   +1 more source

Summary of the 539 features obtained from each region of the mammogram.

open access: yes, 2018
Summary of the 539 features obtained from each region of the mammogram.
Victor Treviño (2571676)   +8 more
core   +1 more source

MAMMOGRAPHIC AND SONOGRAPHIC FEATURES IN CARCINOMA BREAST

open access: yesPakistan Armed Forces Medical Journal, 2006
Background: The most common malignant disease among the females is carcinoma breast. Its management requires team effort, in which modern imaging techniques play an important rote, in diagnosis and assessing the severity of disease.
Ambreen Sadiq   +3 more
doaj  

Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning

open access: yesIEEE Access
The increasing incidence and mortality of breast cancer pose significant global challenges for women. Deep learning (DL) has shown superior diagnostic performance in breast cancer classification compared to human experts.
Sadam Hussain   +5 more
doaj   +1 more source

STATISTICAL DETECTION OF BREAST CANCER BY MAMMOGRAM IMAGE

open access: yes, 2016
Objective: To create awareness about the breast cancer which has become one of the most common diseases among women that leads to death if notrecognized at early stage.Methods: The technique of acquiring breast image is called mammography and is a ...
Shaik Naseera, G.k. Rajini, Saravanan M
core   +1 more source

Breast Cancer Stage Migration in Saudi Arabia: Examining the Influence of Screening [PDF]

open access: yesGlobal Journal on Quality and Safety in Healthcare, 2022
Atlal Abusanad
doaj   +1 more source

Improving Mammogram Referrals in Hmong Women Utilizing Culturally-aware Patient Education Materials

open access: yes, 2018
Doctor of Nursing Practice Scholary ProjectBackground: Screening mammograms are an important aspect of early detection of breast cancer. The American Cancer Society (2017) recommends that women with average risk of breast cancer start yearly screening ...
Wilusz, Sandra
core  

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