Evaluating deep learning methods in detecting and segmenting different sizes of brain metastases on 3D post-contrast T1-weighted images
Youngjin Yoo; Pascal Ceccaldi; Siqi Liu; Thomas J. Re; Yue Cao; James M. Balter; Eli Gibson · 2021 · Journal of Medical Imaging
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Purpose: We investigate the impact of various deep-learning-based methods for detecting and segmenting metastases with different lesion volume sizes on 3D brain MR images. Approach: A 2.5D U-Net and a 3D U-Net were selected. We also…
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Metadata source: OpenAlex · DOI 10.1117/1.jmi.8.3.037001