Results 41 to 50 of about 3,686,577 (308)
Application of deep learning in the detection of breast lesions with four different breast densities
Cancer Medicine, 2021 Objective This retrospective study evaluated the model from populations with different breast densities and showed the model's performance on malignancy prediction.
Hongmei Li +8 more
doaj +1 more source
, 2017 Background: We aimed to evaluate the influence of mammographic breast density at diagnosis on the risk of cancer recurrence and survival outcomes in patients with invasive breast cancer after modified radical mastectomy. ;Methods: This case-control study
張允中;柯維鈞;曾堯暉;郭頌鑫;黃俊升;黃昱森;趙福杉 +1 more
core +1 more source
IEEE AccessGenetic programming (GP) and fuzzy logic are used to automatically segment mammography images. GP allows the evolution of optimized segmentation models, guided by a fuzzy logic-based fitness function that incorporates medical criteria to improve the ...
Ingrid-Aurora Valencia-Hernandez +5 more
doaj +1 more source
Calibrated Breast Density Measurements [PDF]
Academic Radiology, 2019 Mammographic density is an important risk factor for breast cancer, but translation to the clinic requires assurance that prior work based on mammography is applicable to current technologies. The purpose of this work is to evaluate whether a calibration methodology developed previously produces breast density metrics predictive of breast cancer risk ...
Erin E, Fowler +6 more
openaire +2 more sources
Dietary calcium and vitamin D intakes in childhood and throughout adulthood and mammographic density in a British birth cohort. [PDF]
, 2008 We examined the role of dietary calcium and vitamin D intakes in childhood and throughout adulthood in relation to mammographic density using data from a nationally representative cohort of 1161 women followed up since their birth in 1946.
Hardy, R +18 more
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.
, 2006 Mammographic features are associated with breast cancer risk, but estimates of the strength of the association vary markedly between studies, and it is uncertain whether the association is modified by other risk factors.
McCormack, Valerie A +3 more
core +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding
FEBS Letters, EarlyView.In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança +2 more
wiley +1 more source
, 2016 Objective: The effect of estrogen on bone mineral density (BMD) and breast cancer has been known for a long time. The aim of this study was to compare of the BMD of patients with breast cancer and healthy individuals, and to investigate the degree of ...
ÖZMEN, Vahit +15 more
core +1 more source