Papillary Neoplasms of the Breast: A Review
Abstract Context.—Interpretation of papillary lesions of the breast remains a challenging task because of the wide morphologic spectrum encountered in the benign, atypical, and malignant subtypes. Data on clinical significance and outcome of papillary lesions, with superimposed atypia or areas similar to ductal carcinoma in situ ...
Shir-Hwa Ueng+2 more
openaire +2 more sources
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification [PDF]
Breast cancer is the most widespread neoplasm among women and early detection of this disease is critical. Deep learning techniques have become of great interest to improve diagnostic performance. However, distinguishing between malignant and benign masses in whole mammograms poses a challenge, as they appear nearly identical to an untrained eye, and ...
arxiv
High CTLA-4 expression correlates with poor prognosis in thymoma patients [PDF]
Thymomas, tumors that arise from epithelial cells of the thymus gland, are the most common neoplasms of the anterior mediastinum, with an incidence rate of approximately 2.5 per million/year.
Amantini, Consuelo+13 more
core +1 more source
Association of interleukin 10 rs1800896 polymorphism with susceptibility to breast cancer: a meta-analysis. [PDF]
Objective: To evaluate the correlation between interleukin 10 (IL-10) -1082A/G polymorphism (rs1800896) and breast cancers by performing a meta-analysis.
Liu, Ji-Bin+3 more
core +2 more sources
Breast biomecanical modeling for compression optimization in digital breast tomosynthesis [PDF]
Mammography is a specific type of breast imaging that uses low-dose X-rays to detect cancer in early stage. During the exam, the women breast is compressed between two plates until a nearly uniform breast thickness is obtained. This technique improves image quality and reduces dose but can also be the source of discomfort and sometimes pain for the ...
arxiv +1 more source
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data [PDF]
Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing technique is proposed to improve the area of interest in MRI data and a hybrid technique using Convolutional ...
arxiv
A biomechanical breast model evaluated with respect to MRI data collected in three different positions [PDF]
Background: Mammography is a specific type of breast imaging that uses low-dose X-rays to detect cancer in early stage. During the exam, the women breast is compressed between two plates in order to even out the breast thickness and to spread out the soft tissues. This technique improves exam quality but can be uncomfortable for the patient.
arxiv +1 more source
Solitary Plasmacytoma of the Breast: A Case of an Uncommon Breast Neoplasm
Plasmacytoma is a rare cancer that originates from a single plasma cell and is characterized by the abnormal proliferation of monoclonal plasma cells. It is typically localized in a single area of the body, most commonly in the bone or soft tissue. Solitary plasmacytoma can be further classified as either solitary plasmacytoma of bone (SPB) or solitary
Sean McCormack, Eyad Hamad, Amar Hamad
openaire +2 more sources
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images [PDF]
Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of the dreadful diseases that affect women globally. Segmenting breast regions accurately from ultrasound image is a challenging task due to the inherent speckle artifacts, blurry breast lesion boundaries, and inhomogeneous intensity distributions inside ...
arxiv +1 more source
Solid papillary breast carcinoma resembling the tall cell variant of papillary thyroid neoplasms (BPTC), also known as solid papillary carcinoma with reverse polarity, is a rare histological type of breast cancer that resembles morphologically the tall ...
J. Lozada+14 more
semanticscholar +1 more source