We evaluate analytical and artificial intelligence strategies to enhance the informative content of the SOLUS multimodal database (Diffuse Optical Tomography, B-mode ultrasounds, Color-Doppler and Shear Wave Elastography images) to discriminate benign and malignant breast lesions.

A Comprehensive Assessment of the SOLUS Database for Classifying Breast Lesions

Giulia Maffeis;Antonio Pifferi;Alberto Dalla Mora;Laura Di Sieno;Alberto Tosi;Enrico Conca;Andrea Farina;Paola Taroni
2024-01-01

Abstract

We evaluate analytical and artificial intelligence strategies to enhance the informative content of the SOLUS multimodal database (Diffuse Optical Tomography, B-mode ultrasounds, Color-Doppler and Shear Wave Elastography images) to discriminate benign and malignant breast lesions.
2024
Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN)
978-1-957171-34-0
Diffuse Optical Tomography, breast lesion classification, multimodal approach
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1285243
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