A detailed developmental time course of Blattella germanica embryogenesis reveals how a direct-differentiating blastoderm coordinates with delayed axis gene activation ...
A new resource-optimized neural architecture search framework automatically identifies a compact 3D U-Net model for prostate cancer segmentation from diffusion-weighted ...
Researchers in Taiwan developed a geology-oriented U-Net semantic segmentation framework to automatically identify natural open fractures and fault gouge in ...
A decoupled few-shot segmentation model improves edge detail recovery and achieves higher Dice scores across three medical imaging benchmarks.
Researchers conducted a retrospective computational study to systematically compare the performance of U-Net and conditional generative adversarial networks (cGAN) for ...
Researchers have developed CTWSeg, a weakly supervised framework that accurately segments Ming city wall components using only 0.1 percent labeled ...
A new implicit neural representation framework compresses CT, MRI, PET, CTA and pathology images by up to 183-fold while preserving ...
A study found that groups of trained student raters, when aggregated, can approach expert radiologist accuracy in segmenting knee recess ...
A study of 24 post-therapy SPECT/CT scans found threshold-based segmentation far more reproducible than gradient-based methods for measuring tumour volume ...
A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without requiring annotated segmentation masks.
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