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Enhancing Breast Ultrasound Diagnosis: A DCNN-Based Approach for Lesion Detection and Segmentation

Year: 2026

Type: conference-paper

Abstract: Introduction: Breast cancer remains the most prevalent cancer among women, making early detection critical for reducing mortality rates. Ultrasound imaging is a valuable diagnostic tool due to its accessibility and non-invasiveness; however, its accuracy depends heavily on the expertise of the sonographers, [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds188

Authors: Alickovic, Fatma, Khan, Tamsila, van de Vooren, Wim, Warm, Mathias, Eichler, Christian, Malter, Wolfram, Fischer, Lotta A.

Institutions: Johannes Gutenberg University Mainz, University Medical Center of the Johannes Gutenberg University Mainz, University of Cologne, University Hospital Cologne, Krankenhaus Köln-Holweide, St. Franziskus Hospital

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7147142555

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