Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Antti Sassi"'
Autor:
Mirva Karivaara-Makela, Said Pertuz, Otso Arponen, Gerson Africano, Antti Sassi, Kirsi Holli-Helenius, Irina Rinta-Kiikka, Anna-Leena Laaperi
Publikováno v:
EMBC
Computerized parenchymal analysis has shown potential to be utilized as an imaging biomarker to estimate the risk of breast cancer. Parenchymal analysis of digital mammograms is based on the extraction of computerized measures to build machine learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af9fc503bb2dc76e134c3375cc7c8cc9
https://pubmed.ncbi.nlm.nih.gov/33018187
https://pubmed.ncbi.nlm.nih.gov/33018187
Autor:
Anna-Leena Laaperi, Irina Rinta-Kiikka, Gerson Africano, Said Pertuz, Antti Sassi, Otso Arponen
Publikováno v:
EMBC
CAD systems have shown good potential for improving breast cancer diagnosis and anomaly detection in mammograms. A basic enabling step for the utilization of CAD systems in mammographic analysis is the correct identification of the breast region. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b772d6525a8a8807eb2a8cd4412972d
https://doi.org/10.1109/embc44109.2020.9175960
https://doi.org/10.1109/embc44109.2020.9175960
Autor:
Jere Kyttä, Said Pertuz, Otso Arponen, Antti Sassi, Tomppa Pakarinen, William Cancino, Irina Rinta-Kiikka, Antti Tolonen
Publikováno v:
European Journal of Radiology. 145:109943
Purpose of the review We aim to review the methods, current research evidence, and future directions of body composition analysis (BCA) with CT imaging. Recent findings CT images can be used to evaluate muscle, visceral, and subcutaneous adipose tiss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7c920ab95d155d3c6f48d875378131b
https://doi.org/10.1016/j.ejrad.2021.109943
https://doi.org/10.1016/j.ejrad.2021.109943
Autor:
Leena Tiainen, Maija Tervo, Irina Rinta-Kiikka, Arja Jukkola, Teemu Tolonen, Niina Mäenpää, Annukka Salminen, Otso Arponen, Mikko Moisander, Antti Sassi
Publikováno v:
Acta Radiologica Open
Background Neoadjuvant endocrine therapy is an alternative to neoadjuvant chemotherapy in women with inoperable luminal-like breast cancers. Neoadjuvant cyclin-dependent kinase 4/6 inhibitor treatment combined with endocrine treatment (CDK4/6I + E) i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c171ba3d0782a9064122332f4719d1b6
https://doi.org/10.1177/20584601211030660
https://doi.org/10.1177/20584601211030660
Autor:
Anna-Leena Laaperi, Irina Rinta-Kiikka, Joni Kamarainen, Otso Arponen, Antti Sassi, Kirsi Holli-Helenius, Said Pertuz
Publikováno v:
European journal of radiology. 121
Purpose To assess the association between breast cancer risk and mammographic parenchymal measures obtained using a fully-automated, publicly available software, OpenBreast. Methods This retrospective case-control study involved screening mammograms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae15fbf505e3d4662054682f7afc1f25
https://pubmed.ncbi.nlm.nih.gov/31689665
https://pubmed.ncbi.nlm.nih.gov/31689665
Autor:
Antti Sassi, German F. Torres, Otso Arponen, Joni Kamarainen, Anna-Leena Laaperi, Irina Rinta-Kiikka, Kirsi Holli-Helenius, Said Pertuz
Publikováno v:
EMBC
Breast density has been identified as one of the strongest risk factors for breast cancer. However, the development of reliable and reproducible methods for the automatic dense tissue segmentation has been an important challenge. Due to the complexit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb39159b757a101841c746891185295
https://doi.org/10.1109/embc.2019.8857320
https://doi.org/10.1109/embc.2019.8857320
Autor:
Oscar Araque, Antti Sassi, Said Pertuz, Anna-Leena Laaperi, Kirsi Holli-Helenius, Irina Rinta-Kiikka, Maria P. Mejia-Sandoval, Otso Arponen
Publikováno v:
BHI
Mammography is one of the main diagnostic tools for the breast and is increasingly utilized for breast cancer risk assessment. Recently, parenchymal analysis has emerged as a computational tool that works by extracting imaging features from mammogram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78c1ebe8ac2f27a009fbe6a533539075
https://doi.org/10.1109/bhi.2019.8834461
https://doi.org/10.1109/bhi.2019.8834461
Autor:
Anna-Leena Laaperi, Irina Rinta-Kiikka, Antti Sassi, Joni-Kristian Kamarainen, Mirva Karivaara-Makela, Kirsi Holli-Helenius, Said Pertuz, Otso Arponen
Publikováno v:
Biomedical Physics & Engineering Express. 5:065008
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb816df8aec5735d0aacbdc70e1558d4
https://doi.org/10.1088/2057-1976/ab42f4
https://doi.org/10.1088/2057-1976/ab42f4
Autor:
Said Pertuz, Antti Sassi, Mirva Karivaara-Mäkelä, Kirsi Holli-Helenius, Anna-Leena Lääperi, Irina Rinta-Kiikka, Otso Arponen, Joni-Kristian Kämäräinen
Publikováno v:
Biomedical Physics & Engineering Express; Oct2019, Vol. 5 Issue 6, p1-1, 1p