Inconsistent Performance of Deep Learning Models on Mammogram Classification.
Journal of the American College of Radiology, 2020 Xiaoqin Wang +5 more
semanticscholar +1 more source
Can radiographers reliably read screening mammograms? [PDF]
, 2000 G Wivell +3 more
openalex +1 more source
A Computer Aided Detection system for mammographic images implemented on a GRID infrastructure
, 2003 The use of an automatic system for the analysis of mammographic images has proven to be very useful to radiologists in the investigation of breast cancer, especially in the framework of mammographic-screening programs.
Bottigli, U. +18 more
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SCREENING FOR CANCER AND MARKET STRUCTURE:A MULTILEVEL ANALYSIS FOR MAMMOGRAM AND PAP-SMEAR UTILIZATION IN THE U.S. [PDF]
This paper investigates the relationship between health care market structure and utilization of preventive care services, namely mammogram and Papanicolaou (Pap-smear) screening.
Yavuz Yasar
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Investigation into possible causes of blurring in mammograms [PDF]
, 2000 D Seddon, KA Schofield, CA Waite
openalex +1 more source
Klasifikasi Citra Mammogram Menggunakan Metode K-Means, GLCM, dan Support Vector Machine (SVM)
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi), 2018 Kanker payudara termasuk salah satu penyakit tidak menular yang cenderung terus meningkat setiap tahunnya. Penyakit ini terjadi hampir seluruhnya pada wanita, tetapi dapat juga terjadi pada pria.
Kadek Novar Setiawan +1 more
doaj
Classification of equivocal mammograms through digital analysis
, 1994 Kerry S. Coakley +3 more
openalex +1 more source
Prediction of the underlying histology from the mammogram: mammographic-large section histologic correlation of >1000 open surgical biopsies [PDF]
, 2000 Làszló Tabár
openalex +1 more source
A computerized analysis of masses on mammograms (in Japanese) [PDF]
, 2000 Goto Miki
openalex +1 more source
Medicare and Disparities in Women's Health [PDF]
We investigate the effect of universal health insurance on health outcome and the use of health services by exploiting a natural experiment that changes the insurance status of most Americans at age 65; that is, eligibility for the U.S. Medicare program.
Carol Rapaport, Sandra Decker
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