Cargando…
Saliency of breast lesions in breast cancer detection using artificial intelligence
The analysis of mammograms using artificial intelligence (AI) has shown great potential for assisting breast cancer screening. We use saliency maps to study the role of breast lesions in the decision-making process of AI systems for breast cancer detection in screening mammograms. We retrospectively...
Autores principales: | Pertuz, Said, Ortega, David, Suarez, Érika, Cancino, William, Africano, Gerson, Rinta-Kiikka, Irina, Arponen, Otso, Paris, Sara, Lozano, Alfonso |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667547/ https://www.ncbi.nlm.nih.gov/pubmed/37996504 http://dx.doi.org/10.1038/s41598-023-46921-3 |
Ejemplares similares
-
Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer
por: Sassi, Antti, et al.
Publicado: (2023) -
Neoadjuvant chemotherapy induces an elevation of tumour apparent diffusion coefficient values in patients with ovarian cancer
por: Reijonen, Milja, et al.
Publicado: (2023) -
Radiological and pathological assessment of response to neoadjuvant CDK4/6 inhibitor and endocrine treatments in a real-life setting—initial results
por: Moisander, Mikko, et al.
Publicado: (2021) -
Is there a Role for Contrast-enhanced Ultrasound in the Detection and Biopsy of MRI Only Visible Breast Lesions?
por: Nykänen, Aki, et al.
Publicado: (2017) -
MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study
por: Holli-Helenius, Kirsi, et al.
Publicado: (2017)