Results 31 to 40 of about 1,907,433 (308)

Multi-Scale Fusion U-Net for the Segmentation of Breast Lesions

open access: yesIEEE Access, 2021
Breast lesion is a malignant tumor that occurs in the epithelial tissue of the breast. The early detection of breast lesions can make patients for treatment and improve survival rate.
Jingyao Li   +4 more
doaj   +1 more source

Breast lesions during pregnancy and lactation: a pictorial essay [PDF]

open access: yesUltrasonography, 2020
A wide range of breast lesions can arise during pregnancy and lactation, from benign or Epub ahead of print inflammatory diseases to malignant tumors.
Seung Eun Lee, Young Kyung Bae
doaj   +1 more source

Upgrading rate of papillary breast lesions diagnosed by core-needle biopsy [PDF]

open access: yes, 2013
PURPOSEWe aimed to estimate the upgrading rate of core-needle biopsy (CNB)-diagnosed papillary breast lesions to atypical or malignant papillary lesions on subsequent surgery.MATERIALS AND METHODSWe performed a retrospective review of medical records and
Panuwat Lertsithichai,   +3 more
core   +1 more source

The Impact of Adding Digital Breast Tomosynthesis to BI-RADS Categorization of Mammographically Equivocal Breast Lesions

open access: yesDiagnostics, 2023
Digital mammography (DM) is the cornerstone of breast cancer detection. Digital breast tomosynthesis (DBT) is an advanced imaging technique used for diagnosing and screening breast lesions, particularly in dense breasts.
Rania Mostafa Hassan   +8 more
doaj   +1 more source

Comparative Accuracy of Mammography and Ultrasound in Women with Breast Symptoms According to Age and Breast Density

open access: yesBiomolecules & Biomedicine, 2009
Breast cancer is the most common cancer and the second most common cause of death from cancer in women.The aim of this studywas to determine which is more accurate imaging test mammography or ultrasound for diagnosis of breast cancer based on the women ...
Emine Devolli-Disha   +3 more
doaj   +1 more source

Value of Strain Elastography Ultrasound in Differentiation of Breast Masses and Histopathologic Correlation

open access: yesEuropean Journal of Breast Health, 2014
Objective: US elastography is an emerging technique that can be used during breast US examination. The increasing awareness of breast cancer led to an increase in mammography and breast US examinations.
Aysun Okar Atabey   +3 more
doaj   +1 more source

Automated breast ultrasound: A comparison study with handheld ultrasound in detection and characterization of lesions in mammographically dense breast

open access: yesمجله كليه طب الكندي, 2022
Background: Although mammography is a powerful screening tool in detection of early breast cancer, it is imperfect, particularly for women with dense breast, which have a higher risk to develop cancer and decrease the sensitivity of mammogram, Automated
Saja Ali Ahmed, Salam M. Joori
doaj   +1 more source

RNA‐related functions of BRCA2 in transcription, replication, and genome stability

open access: yesFEBS Letters, EarlyView.
Beyond its role in homologous recombination, BRCA2 regulates R‐loop homeostasis, DNA–RNA hybrid resolution, RNA polymerase II dynamics, and transcriptional activation. Disruption of any of these functions can contribute to genome instability, inflammatory signaling, and tumorigenesis. BRCA2 is a central tumor suppressor protein best known for its roles
Lucia Alvaro‐Aranda   +2 more
wiley   +1 more source

Genomics and premalignant breast lesions: Clues to the development and progression of lobular breast cancer

open access: yes, 2007
Advances in genomic technology have improved our understanding of the genetic events that parallel breast cancer development. Because almost all mammary carcinomas develop in the terminal duct lobular units of the breast, understanding the events ...
Lam W.L.   +3 more
core   +1 more source

Breast ultrasound lesions recognition: end-to-end deep learning approaches. [PDF]

open access: yes, 2018
Multistage processing of automated breast ultrasound lesions recognition is dependent on the performance of prior stages. To improve the current state of the art, we propose the use of end-to-end deep learning approaches using fully convolutional ...
Zwiggelaar, Reyer   +6 more
core   +1 more source

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