Chao Luo

ORCID: 0009-0001-1412-9548
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About
Contact & Profiles
Research Areas
  • Medical Image Segmentation Techniques
  • Ubiquitin and proteasome pathways
  • Image Retrieval and Classification Techniques
  • Face and Expression Recognition
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Simulation and Modeling Applications
  • Paraquat toxicity studies and treatments
  • Gene expression and cancer classification
  • Speech and Audio Processing
  • Weed Control and Herbicide Applications
  • Cancer-related gene regulation
  • Animal Virus Infections Studies
  • Handwritten Text Recognition Techniques
  • Plant Molecular Biology Research
  • Lipid metabolism and biosynthesis
  • Service-Oriented Architecture and Web Services
  • Sparse and Compressive Sensing Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging and Analysis
  • Neural Networks and Applications
  • Advanced Computational Techniques and Applications
  • Plant Gene Expression Analysis
  • Brain Tumor Detection and Classification
  • Viral gastroenteritis research and epidemiology

Southwest University of Science and Technology
2024

Guangzhou Vocational College of Science and Technology
2023

Nanjing Forestry University
2022

Chengdu University of Information Technology
2019

University of Science and Technology of China
2002-2016

Hunan Agricultural University
2012-2014

Oxidative stress is unavoidable for aerobic organisms. When abiotic and biotic stresses are encountered, oxidative damage could occur in cells. To avoid this damage, defense mechanisms must be timely efficiently modulated. While the response to has been extensively studied plants, little known about how activated switched off when diminished. By studying Arabidopsis mutant paraquat tolerance3, we identified genetic locus PARAQUAT TOLERANCE3 (PQT3) as a major negative regulator of tolerance....

10.1371/journal.pgen.1006332 article EN cc-by PLoS Genetics 2016-09-27

Existing natural image segmentation tasks often face some troubles in getting accurate contours or causing over-segmentation of local areas during segmentation, and the multi-feature information mining images is insufficient. To address these problems, learnable tensor graph fusion framework for (LTGF-NIS) proposed this paper. Firstly, we pre-process original by adaptive morphological reconstruction watershed transform, data extracted, matrix contains about image. Then design an weighted...

10.1109/tmm.2024.3360689 article EN IEEE Transactions on Multimedia 2024-01-01

Words are the most indispensable information in human life. It is very important to analyze and understand meaning of words. Compared with general visual elements, text conveys rich high-level moral information, which enables computer better semantic content text. With rapid development technology, great achievements have been made detection recognition. However, when dealing characters natural scene images, there still some limitations recognition images. Because image has more interference...

10.32604/cmc.2019.05990 article EN Computers, materials & continua/Computers, materials & continua (Print) 2019-01-01

In efforts to discover disease mechanisms and improve clinical diagnosis of tumors, it is useful mine profiles for informative genes with definite biological meanings build robust classifiers high precision. this study, we developed a new method tumor-gene selection, the Chi-square test-based integrated rank gene direct classifier ( χ 2 -IRG-DC). First, obtained weighted importance from chi-square tests single pairwise interactions. Then, sequentially introduced ranked removed redundant by...

10.1155/2014/589290 article EN cc-by BioMed Research International 2014-01-01

Tissue segmentation is a fundamental and important task in nasopharyngeal images analysis. However, it challenging to accurately quickly segment various tissues the nasopharynx region due small difference gray value between image complexity of tissue structure. In this paper, we propose novel approach based on two-stage learning framework U-Net. proposed methodology, network consists two modules. The first module performs rough second accurate segmentation. Considering training time...

10.32604/cmc.2020.010069 article EN Computers, materials & continua/Computers, materials & continua (Print) 2020-01-01

Convolution neural network(CNN) has been widely applied in many fields and achieved excellent results, especially image classification tasks.As we all know, factors affect the performance of classification.In particular, size training data sets number categories are important affecting performance.While for most people, a large set difficult to obtain or need do task with categories.Thus, consider two questions this approach: How does performance?How performance?In order figure out these...

10.17706/jsw.14.4.168-181 article EN Journal of Software 2019-04-01

10.1016/j.eswa.2024.125431 article EN Expert Systems with Applications 2024-10-01

Abstract Oxidative damage could be caused in plant cells when biotic and abiotic stresses are imposed. While the response to oxidative stress is well studied, little known about how activated switched off diminished. By studying Arabidopsis mutant paraquat tolerance3 , we identified genetic locus PARAQUAT TOLERANCE3 ( PQT3 ) as a major negative regulator of tolerance. encoding an E3 ligase, rapidly down-regulated by stress. has ubiquitin ligase activity ubiquitination assay. Subsequently,...

10.1101/040543 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2016-02-22
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