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Artificial Intelligence for Automated Diagnosis of Breast Cancer — AICAMAMMELLA  

Breast Cancer Diagnosis Clinical Trial

Official title:
Study of an Artificial Intelligence Algorithm for the Classification of Digital Tomosynthesis Breast Images for Automated Breast Cancer Diagnosis

Clinical Trial Summary

Mammography is a two-dimensional imaging technique which involves the tissues overlapping under the projective image; dense glandular tissue above or below the lesion can reduce the visibility of the lesion. The trouble could be the interpretation of the image obtained which may lead to the inability to visualize a fist stage cancer and the probability that to a healthy person will be diagnosed a pathology that is not present (false positive). The introduction of an almost three-dimensional technique imaging called breast digital tomosynthesis (DBT) can overcome most limitations. In the last 5 years image analysis methods based on Artificial Intelligence (, AI) have also been massively introduced in breast cancer detection. The study is a prospective observational study based on Artificial intelligence whose the mail goal is to develop a method to identify a lesion.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05858762
Study type Observational [Patient Registry]
Source Regina Elena Cancer Institute
Contact Valeria Landoni
Phone +39 06 52665602
Email valeria.landoni@ifo.it
Status Recruiting
Phase
Start date October 20, 2020
Completion date December 31, 2023
View Details
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