Results 71 to 80 of about 29,543 (232)

COMPUTER AIDED DIAGNOSIS SISTEM UNTUK DIGITAL MAMMOGRAM MENGGUNAKAN NEURAL NETWORK DAN DUAL TREE COMPLEX WAVELET TRANSFORM [PDF]

, 2012
COMPUTER AIDED DIAGNOSIS SISTEM UNTUK DIGITAL MAMMOGRAM MENGGUNAKAN NEURAL NETWORK DAN DUAL TREE COMPLEX WAVELET TRANSFORM - :Digital Mammogram, Dual Tree Complex Wavelet Transform, Neural ...
DAVID, DAVID, D. Santika, Diaz
core  

DETEKSI POTENSI KANKER PAYUDARA PADA MAMMOGRAM MENGGUNAKAN METODE GRAY LEVEL CO-OCCURRENCE MATRICES [PDF]

, 2011
Kanker payudara adalah jenis kanker yang paling umum diderita oleh wanita. Mammografi telah menjadi metode yang umum digunakan untuk deteksi dini kanker payudara.
Hidayatno , Achmad, Santoso , Imam, Hartadi, Riyan   +2 more
core   +1 more source

When to stop breast cancer screening in dementia? Perspectives from patients and care partners

Alzheimer's &Dementia: Behavior &Socioeconomics of Aging, Volume 2, Issue 4, December 2026.
Abstract Introduction Guidelines recommend breast cancer screening up to age 75 or if life expectancy is > 10 years without specific guidance for dementia patients. One framework for individualizing preventive care in older adults proposes comparing an intervention's time‐to‐benefit (10 years for breast cancer screening) to an individual's life ...
Nancy L. Schoenborn, Jacqueline Massare, Sevil Yasar, Rebekah H. Nagler, Mara A. Schonberg, Craig E. Pollack, Qian‐Li Xue, Cynthia M. Boyd, Sarah E. Gollust   +8 more
wiley   +1 more source

HARIRAYA: a novel breast cancer pseudo-color feature for multimodal mammogram using deep learning [PDF]

, 2018
Breast cancer is the leading cancer in the world. Mammogram is a gold standard for detecting breast cancer at earlier screening because of its sensitivity.
Ahmad Nazri, Azree Shahrel, Agbolade, Olalekan   +1 more
core   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

Fractal Analysis of Mammograms [PDF]

, 2007
In this paper it is shown that there is a difference in local fractal dimension between imaged glandular tissue, supporting tissue and muscle tissue based on an assessment from a mammogram. By estimating the density difference at four different local dimensions (2.06, 2.33, 2.48, 2.70) from 142 mammograms we can define a measure and by using this ...
Fredrik Georgsson, Stefan Jansson, Christina Olsén   +2 more
openaire   +2 more sources

Association of Care Coordination and Discontinuity With Patterns of Care and Outcomes in Childhood Cancer Survivors With Multiple Chronic Conditions: A Report From the Childhood Cancer Survivor Study

Cancer Medicine, Volume 15, Issue 11, November 2026.
ABSTRACT Introduction Given the substantial chronic condition burden among adult survivors of childhood cancer, we explored associations between care coordination and discontinuity with patterns of care and health status. Methods Data from Childhood Cancer Survivor Study (CCSS) participants with multiple chronic conditions who completed the validated ...
Claire Snyder, Rebecca Eary, Wendy M. Leisenring, Kayla L. Stratton, Cynthia M. Boyd, Lorraine T. Dean, Melissa M. Hudson, Eric J. Chow, Kevin C. Oeffinger, Elyse R. Park, Maura M. Kepper, Sara Malone, I‐Chan Huang, Matthew J. Ehrhardt, Vikki Nolan, Gregory T. Armstrong, Paul C. Nathan, Youngjee Choi   +17 more
wiley   +1 more source

Model‐based image restoration targeting higher‐dose digital mammography: Impact on radiologists' detection of clustered microcalcifications

Medical Physics, Volume 53, Issue 11, November 2026.
Abstract Background Image noise in digital mammography (DM) can obscure image details and reduce the detectability of clinically relevant findings such as microcalcifications. Purpose To present and evaluate an extended model‐based (MB) image restoration pipeline for DM that incorporates quantum, electronic, and structural noise components, as well as ...
Renann F. Brandão, Lucas R. Borges, Silvia M. P. S. Sabino, Renato F. Caron, Alessandro Foi, Predrag R. Bakic, Anders Tingberg, Marcelo A. C. Vieira   +7 more
wiley   +1 more source

Requesting Diagnostic Imaging in Nurse Practitioner Practice: Results of a National Survey

Journal of Clinical Nursing, Volume 35, Issue 11, Page 4795-4805, November 2026.
ABSTRACT Aim To examine how nurse practitioners in Australia request diagnostic imaging and identify educational and system‐level barriers that influence this practice. Design Cross‐sectional national survey. Methods An online survey of nurse practitioners in Australia.
Mary Kearns, Patrick Brennan, Christopher Helms, Thomas Buckley   +3 more
wiley   +1 more source

PEMOTONGAN ROI OTOMATIS PADA DIGITAL MAMMOGRAM MENGGUNAKAN OPERASI MORFOLOGI

, 2016
[Id] Salah satu metode yang paling efektif untuk mendeteksi dan mengidentifikasi kanker payudara adalah melalui pemeriksaan mammogram. Keab-normalan kanker payudara dapat dikenali dengan keberadaan massa pada citra mammogram, hal ini dikarenakan massa ...
Putra, Januar Adi, Wijaya, Arya Yudhi, Suciati, Nanik   +2 more
core   +1 more source