IEEE

EPSegNet: Lightweight Semantic Recalibration and Assembly for Efficient Polyp Segmentation

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 ...
GitHub

.basis File Format and ETC1S Texture Video Specification

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 ...
UMass Lowell

Doctoral Dissertation Defense in Computer Science: Alimire Nabijiang 11/20

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 & ...
Cancer Research

American Association for Cancer Research

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 ...
the-decoder

New method adapts language models without training

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 ...
Scientific Research Publishing

Polyp Segmentation Network with Dual-Decoder Pyramid Visual Converter ()

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 ...
C&EN

Pairwise Attention: Leveraging Mass Differences to Enhance De Novo Sequencing of Mass Spectra

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 ...
GitHub

Deep Graph Anomaly Detection: A Survey and New Perspectives

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...
PNAS

TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes

T cells recognize pathogens by binding their peptides through specific and diverse receptors. Computationally predicting what receptor binds what peptide from their amino acid sequences alone has ...
Nature

Polyp segmentation with consistency training and continuous update of pseudo-label

Colorectal cancer (CRC) is one of the most prevalent causes of cancer-related deaths globally. Most colorectal cancers start as polyps which could become threatening over time and even spread to ...
IEEE

Design and simulation of CRC encoder and decoder using VHDL

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