Quality determinants of mammography: clinical practice guideline no. 13. AHCPR Publ No. 95- 0632. Rockville (MD): DHHS, PHS, AHCPR, 1994.Bassett LW, Hendrick RE, Bassford TL et al. Quality Determinants of Mammography: Clinical Practice Guideline No. 13. AHCPR Pub- lication No. 95-...
Optimization of radiation dose and image quality in mammography: A clinical evaluation of rhodium...Describes the mammographic procedure done with conventional molybdenum anode/filter combination and either a molybdenum/rhodium (Mo/Rh) or rhodium/rhodium (Rh/Rh) combination to compare the contrast ...
Screening mammography for women 40 to 49 years of age: a clinical practice guideline from the American College of Physicians. Breast cancer is one of the most common causes of death for women in their 40s in the United States. Individualized risk assessment plays an important role... A Qasee...
Jatoi I, Anderson WF, Rao SR, Devesa SS. Breast cancer trends among black and white women in the United States. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2005 Nov 1:23(31):7836-41[PubMed PMID: 16258086] [2] Rojas K, Stuckey A. Brea...
Written by recognized leaders in digital mammography, this volume is a complete guide to this new technology and its optimal clinical use. Coverage includes descriptions of current and emerging detector technologies and detailed reviews of clinical trials comparing digital mammography to screen-film ...
With recent advancements of learning-based algorithms for image analysis5,6, several works have adapted deep learning networks for mammography interpretation and showed potential to use in clinical practices7,8,9,10,11,12. In retrospective settings, the CAD tool as an independent reader can achieve...
Densitas offers a robust and comprehensive mammography quality assurance platform, comprised of intelliMammo and intelliMaven. IntelliMammo is built on deep learning and machine learning algorithms that assess clinical image quality and breast density that are the foundation for advanced ...
“end-to-end” training approach that efficiently leverages training datasets with either complete clinical annotation or only the cancer status (label) of the whole image. In this approach, lesion annotations are required only in the initial training stage, and subsequent stages require only image-...
Full size image Clinical use The decision curve evaluated the performance for the radiomics nomogram in terms of clinicopathologic application, thereby, reflecting its clinical usefulness. Within the probability of predicting ALN status ranges of 10% to 100%, more benefit was added from the radiomics...
Full size image This trial was registered at clinicaltrials.gov (identifier: NCT01880853). Screening methods and quality assurance A standard two-view mammography was performed by using digital mammography. Screening ultrasound was performed by using colour Doppler and high-resolution transducers with max...