On-time screening members were more likely to have unknown socioeconomic status (SES) compared to early screening members (26.4% vs. 24.6%, p = 0.022) and to reside in rural zip codes (42.2% vs. 39.1%, p < 0.001). After 10 years of follow-up, 285 of 2,647 remaining members ...
The recent progress in the study of mammography interpretation has drawn much attention with an increasing number of mammogram datasets with various characteristics, while some datasets are publicly available to the research community, some have restricted access or are not open13,14,15,16,17,18,19...
This study made the best effort to implement codes and frameworks provided in the literature [41,45,46,47] to ensure a fairer comparison. All methods were trained, validated and tested with the same dataset, i.e., expanded the 3D fused images constructed after multimodal fusion. We calculated...
First, a straight-line distance was measured with ZipFind Deluxe 5.0 software between the centroids of two Zip codes (woman's residence Zip code and mammography facility Zip code where the index examination was done). Second, the Floating Catchment Area (FCA) Method was used which considered ...
The methodology involves two methods, an error-correcting output codes simple vector machine (ECOC SVM) classifier, and a deep CNN. The authors use accuracy, sensitivity, and specificity as evaluation parameters. A slight variation from the previous method introduces a LeNet-5 architecture along ...
The data and program codes are available from the corresponding author upon reasonable request. Conflicts of Interest The authors declare no conflict of interest. References Xian, M.; Zhang, Y.; Cheng, H.D.; Xu, F.; Zhang, B. Automatic breast ultrasound image segmentation: A survey. Pattern...
Deep Learning using Robust Interdependent Codes. J. Mach. Learn. Res. 2009, 5, 312–319. 30. Vincent, P. A Connection between Score Matching and Denoising Autoencoders. Neural Comput. 2011, 23, 1661–1674. [CrossRef] [PubMed] 31. Baldi, P.; Guyon, G.; Dror, V.; Lemaire, V.;...
The methodology involves two methods, an error-correcting output codes simple vector machine (ECOC SVM) classifier, and a deep CNN. The authors use accuracy, sensitivity, and specificity as evaluation parameters. A slight variation from the previous method introduces a LeNet-5 architecture along ...
Methods Study population Cases eligible for the study were all 38,555 Hispanic female residents of California newly diagnosed with invasive breast cancer (International Classification of Diseases–Oncology, 3rd edition (ICD-O-3) morphology codes C50.0-50.9) and reported to the California Cancer ...