Abstract: Colorectal cancer (CRC) is among the most common malignancies and the detection and removal of polyps at the early stage is of great importance to prevent it. However, current ...

The .basis file format specification and ETC1S Texture/Texture Video Specification is explicitly not copyrighted by any entity, and to our knowledge is patent free. It may be used for any purpose ...

Yu Cao (Advisor), Professor, Director, Miner School of Computer & Information Sciences, UMass Center for Digital Health (CDH) Benyuan Liu (Advisor), Professor, Director, Miner School of Computer & ...

Clin Cancer Res (2025) 31 (13_Supplement): A044. Digital twin (DT) technology enables in silico patient representations for counterfactual outcome simulations and precise target population ...

Researchers at Sakana AI have introduced Text-to-LoRA (T2L), a method that adapts large language models to new tasks using only a simple text description - no extra training data required. Large ...

To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net). This ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A fundamental challenge in mass spectrometry-based proteomics is determining which ...

Colorectal cancer (CRC) stands out as one of the most prevalent global cancers. The accurate localization of colorectal polyps in endoscopy images is pivotal for timely detection and removal, ...

Abstract: Cyclic Redundancy Check (CRC) technique is an efficient error detection method which used to detect single and burst errors. CRC technique adds redundancy ...

Data assimilation is a Bayesian inference process that obtains an enhanced understanding of a physical system of interest by fusing information from an inexact physics-based model, and from noisy ...