Developing software for easy estimation of 3D gene expression distribution. ScienceDaily . Retrieved June 3, 2025 from www.sciencedaily.com / releases / 2025 / 03 / 250326123556.htm ...

We developed a deep learning (DL) model that segments dense and fatty breast tissue from background. We then applied this model to estimate %VBD and absolute ... digital breast tomosynthesis. Fig A3.

Existing studies often rely on labor-intensive manually annotated large datasets for disease severity estimation. In order to conquer this problem, a lightweight framework named “PDSE-Lite” based on ...

Abstract: In recent years, deep learning models ... which combines masked autoencoder and Gaussian mixture models and is data-driven. Experimental results demonstrate that MAGMM performs well in terms ...

Additionally, it can reconstruct the distribution or changes in electrical ... is a type of neural network with convolution estimation and deep structure. It is a representative algorithm of deep ...

Inspired by the above research, this paper combines SDAE and DPELM, and further proposes a double pseudo-inverse extreme learning machine based on sparse denoising autoencoder (SDAE-DPELM) [15]. SDAE ...