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arXiv AI By Pablo Garc\'ia Marcos, Paula Puerta Gonz\'lez, Guillermo Lorenzo, H\'ector G\'omez, Covadonga del Camino, Angel Rio-Alvarez, V\'ictor M. Gonz\'alez

Evaluating ADC-only deep learning pipelines for breast cancer detection and segmentation using standalone diffusion-weighted MRI

Read the original on arXiv AI →

The paper evaluates deep learning pipelines that use only apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (DW-MRI) for breast cancer detection and segmentation. It compares various state‑of‑the‑art models and claims to be the first comprehensive assessment of ADC‑only approaches for classification, detection, and segmentation tasks. The study highlights the potential of DW-MRI as a faster, contrast‑free alternative to dynamic contrast‑enhanced MRI for breast cancer imaging.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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