Multi-level nested pyramid network for mass segmentation in mammograms

Publication date: Available online 18 July 2019Source: NeurocomputingAuthor(s): Runze Wang, Yide Ma, Wenhao Sun, Yanan Guo, Wendao Wang, Yunliang Qi, Xiaonan GongAbstractMass segmentation in mammograms is an important and challenging topic in breast cancer computer-aided diagnosis. In this work, we propose a novel multi-level nested pyramid network (MNPNet) for dealing with the limitations of intra-class inconsistency and inter-class indistinction that commonly existed in mass segmentation in mammograms. The MNPNet includes an encoder and a decoder. The former encodes contextual information, low-level detail information, and high-level semantic information in a multi-level multi-scale manner by multi-level nesting atrous spatial pyramid pooling (ASPP) module on the feature pyramid generated by modified ResNet34. The latter consist of a series of simple yet effective bilinear upsampling and feature fusion operations to refine the segmentation results along mass boundaries. Our proposed MNPNet is greatly demonstrated on two public mammographic mass segmentation databases including INbreast and DDSM-BCRP, respectively achieving the Dice index of 91.10% and 91.69% without any pre/post-processing.
Source: Neurocomputing - Category: Neuroscience Source Type: research

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ConclusionsIt was concluded that cultural/immigration-related barriers may be the only barrier type that is unique to racial/ethnic minority women. Thus, designing studies of barriers around race and ethnicity is not always appropriate, and other demographic factors are sometimes a more important focus. The variability in ‘barrier’ definitions, how data were collected and reported, and the appropriateness of closed-ended measures was also examined. This literature may benefit from detailed and strategically designed studies that allow more clear-cut conclusions and better comparison across studies as well as im...
Source: Social Science and Medicine - Category: Psychiatry & Psychology Source Type: research
It's not just rural areas that are susceptible to disparities in screening...Read more on AuntMinnie.comRelated Reading: Breast pain may not need imaging workup Risk assessment best for women with dense breasts Spouses, nurses boost mammography screening rates AI enhances diagnostic performance in mammography MRI finds breast cancer early in women with family history
Source: Headlines - Category: Radiology Source Type: news
Chung This retrospective cohort study examined the effects of care continuity on the utilization of follow-up services and outcome of breast cancer patients (stages I–III) in the post-treatment phase of care. Propensity score matching and generalized estimation equations were used in the analysis of data obtained from national longitudinal databases. The continuity of care index (COCI) was calculated separately for primary care physicians (PCP) and oncologists. Our results revealed that breast cancer survivors with a higher oncology COCI were more likely than those with a lower oncology COCI to use mammograp...
Source: International Journal of Environmental Research and Public Health - Category: Environmental Health Authors: Tags: Article Source Type: research
Amy Palmer, 30, from Devon, was diagnosed with breast cancer in March, five months after the birth of her son, Lenny. She wishes for the mammogram screening age of 50 to be lowered.
Source: the Mail online | Health - Category: Consumer Health News Source Type: news
Tom Ramsay, an image processing expert and master photographer, has spent decades sharing his expertise with the world, from working on satellite imaging for the U.S. Navy, fingerprint image processing for the Department of Homeland Security, computer-based photo microscopy analysis of tuberculosis (TB) in Africa, and even restoring Thomas Edison's movies for the Library of Congress. So when his cousin lost both of her daughters to breast cancer, Ramsay had a hard time understanding how such a thing was possible, given all the advanced imaging technology that exists. The problem, of course, is that even with th...
Source: MDDI - Category: Medical Devices Authors: Tags: Imaging Source Type: news
ConclusionsMRI is the best predictor of tumor size in breast cancer. Histologic type and tumor size are key parameters when estimating tumor size and should be taken into account when planning surgery. Patient age does not interfere with the interpretation of imaging tests.ResumenIntroducciónEl objetivo de este estudio fue evaluar qué prueba de imagen de las empleadas para medir el tamaño del cáncer de mama primario preoperatorio (mamografía, ecografía o resonancia magnética (RM)) se correlacionó mejor con el tamaño del tumor en la pieza quirúrgica posto...
Source: Cirugia Espanola - Category: Surgery Source Type: research
Abstract Aim of this study was to select all the cases of Primary (PBL) and Secondary (SBL) Breast Lymphoma from our breast unit since 01/01/2000, to obtain up-to-date data on the prevalence of this rare pathology and to analyze imaging features, with a special focus on CT. All pathological reports of breast biopsies performed from 01/01/2000 to 01/01/2019 were at first screened. Among them, we performed two different researches, looking for key words suggesting either a diagnosis of lymphoma or any other malignant disease. Using the Wiseman criteria, we identify PBL and SBL. All imaging features of PBL and SBL we...
Source: Pathology Oncology Research - Category: Pathology Authors: Tags: Pathol Oncol Res Source Type: research
ConclusionsWhile urban –rural differences in breast cancer screening are small, they can translate into tens of thousands of rural women not receiving mammograms. Hence, there is a need to continue screening initiatives in these areas to reduce the number of breast cancer deaths.
Source: Cancer Causes and Control - Category: Cancer & Oncology Source Type: research
Publication date: Available online 16 August 2019Source: Diagnostic and Interventional ImagingAuthor(s): C. Mandoul, C. Verheyden, I. Millet, C. Orliac, E. Pages, I. Thomassin, P. TaourelAbstractDigital breast tomosynthesis (DBT) is a new imaging technology that addresses the limitation caused by overlapping structures in conventional two-dimensional digital mammography owing to the acquisition of a series of low-dose projection images. This unique technique provides a dual benefit to patients screened for breast cancer. First, DBT increases the cancer detection rate mostly by highlighting architectural distortions and all...
Source: Diagnostic and Interventional Imaging - Category: Radiology Source Type: research
We examined the relationship between intrauterine dichlorodiphenyltrichloroethane (DDT) exposure (o,p’-DDT, p,p’-DDT, and p,p’-DDE) and mammographic breast density (MBD) in midlife, one of the strongest risk factors for breast cancer. We focused our analyses on o,p’-DDT exposure given our previous report of a positive association between intrauterine o,p’-DDT exposure and daughter’s breast cancer (BC) risk. Here we estimated associations of intrauterine serum DDTs with MBD in 224 daughters of women in the Child Health and Development Studies pregnancy cohort whose mothers did not develop...
Source: Reproductive Toxicology - Category: Toxicology Source Type: research
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