Breast Tumor-Like-Masses Segmentation From Scattering Images Obtained With an Ultrahigh-Sensitivity Talbot-Lau Interferometer Using Convolutional Neural Networks

Breast Tumor-Like-Masses Segmentation From Scattering Images Obtained With an Ultrahigh-Sensitivity Talbot-Lau Interferometer Using Convolutional Neural Networks

Segmentation of breast tumors using imaging techniques remains a critical challenge in medical diagnostics, with limitations in contrast and resolution affecting early detection. Conventional mammography methods still have some limitations in differentiating between healthy and tumorous tissue, part...

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Bibliographic Details
Main Authors: Ionut-Cristian Ciobanu, Nicoleta Safca, Elena Anghel, Dan Popescu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Breast tumor segmentation
convolutional neural networks
phase contrast imaging
Talbot-Lau interferometer
Online Access:https://ieeexplore.ieee.org/document/10980335/
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https://ieeexplore.ieee.org/document/10980335/

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