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Academic Articles & Research Papers
Showing 8 of 8 academic articles
Marco Antonio Botelho, Dinalva Brito Queiroz, Gisele Barros, Stela Guerreiro et al. • Clinics
(2014)
OBJECTIVE: To determine the safety and efficacy of a transdermal nanostructured formulation of progesterone (10%) combined with estriol (0.1%) + estradiol (0.25%) for relieving postmenopausal symptoms. METHODS: A total of 66 postmenopausa...
DOAJ
Open Access (DOAJ)
DOI: 10.6061/clinics/2014(02)01
C Friedman • PubMed Central
(2000)
Natural language processing systems (NLP) that extract clinical information from textual reports were shown to be effective for limited domains and for particular applications. Because an NLP system typically requires substantial resources ...
OPENALEX
Open Access
PMC: 2243979
Mohideen AK, Prakash PNS, Priyadharshini MK • Frontiers in artificial intelligence
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.3389/frai.2026.1933770
PMC: PMC13728873
Carl J. Vyborny, Maryellen Lissak Giger • American Journal of Roentgenology
(1994)
The revolution in digital computer technology that has made possible new and sophisticated imaging techniques may next influence the interpretation of radiologic images. In mammography, computer vision and artificial intelligence techniques...
OPENALEX
DOI: https://doi.org/10.2214/ajr.162.3.8109525
Heang‐Ping Chan, Lubomir M. Hadjiiski, Ravi K. Samala • Medical Physics
(2020)
Computer-aided diagnosis (CAD) has been a major field of research for the past few decades. CAD uses machine learning methods to analyze imaging and/or nonimaging patient data and makes assessment of the patient's condition, which can then ...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/mp.13764
PMC: 7293164
Anton S. Becker, Magda Marcon, Soleen Ghafoor, Moritz C. Wurnig et al. • Investigative Radiology
(2017)
OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mam...
OPENALEX
DOI: https://doi.org/10.1097/rli.0000000000000358
Chokri Ferkous, Ouissal Fadel, Abderrahmane Kefali, Hayet-Farida Merouani • IJAIN (International Journal of Advances in Intelligent Informatics)
(2026)
The primary objective of this study is to design a cascaded classification framework that integrates deep-learning representations with handcrafted and clinical features to enhance the reliability and accuracy of breast cancer detection in ...
DOAJ
Open Access (DOAJ)
DOI: 10.26555/ijain.v12i1.1670
Jennifer Viberg Johansson, Karin Dembrower, Fredrik Strand, Åsa Grauman • BMJ Open
(2024)
Background Understanding women’s perspectives can help to create an effective and acceptable artificial intelligence (AI) implementation for triaging mammograms, ensuring a high proportion of screening-detected cancer. This study aimed to e...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjopen-2024-084014