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 FIT JavaScript SDK uses ECMAScript module syntax and requires Node.js v14.0 or higher, or a browser with a compatible JavaScript runtime engine. Decoder objects ...
Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States Department of Electrical and Computer Engineering, Whiting School of ...
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, ...
Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced speech synthesis quality and are increasingly vital in applications like ...
T cell receptor (TCR)-peptide-major histocompatibility complex (pMHC) interactions play a vital role in initiating immune responses against pathogens, and the specificity of TCRpMHC interactions is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results