AI Article Synopsis
Article Abstract
Histopathological images acquired from different experimental set-ups often suffer from batch-effects due to color variations and scale variations. In this paper, we develop a novel scale normalization model for histopathological images based on nuclear area distributions. Results indicate that the normalization model closely fits empirical values for two renal tumor datasets. We study the effect of scale normalization on classification of renal tumor images. Scale normalization improves classification performance in most cases. However, performance decreases in a few cases. In order to understand this, we propose two methods to filter extracted image features that are sensitive to image scaling and features that are uncorrelated with scaling factor. Feature filtering improves the classification performance of cases that were initially negatively affected by scale normalization.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4983416 | PMC |
| http://dx.doi.org/10.1109/EMBC.2012.6346943 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Postural instability and gait disturbance are associated with abnormal stereopsis in Parkinson's disease.
PLoS One
January 2025
Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Background: Visual dysfunction, including abnormal stereopsis, is a significant non-motor symptom in Parkinson's disease (PD) that can reduce quality of life and appears early in the disease. Abnormal stereopsis is associated with worsening of bradykinesia and freezing of gait, though the exact pathways linking stereopsis to motor symptoms remain unclear. Furthermore, in PD patients, the pedunculopontine nucleus and laterodorsal tegmental complex play an active role in sensorimotor control, and these areas provide cholinergic projections.
View Article and Find Full Text PDFMEGA-GO: Functions prediction of diverse protein sequence length using Multi-scalE Graph Adaptive neural network.
Bioinformatics
January 2025
Guangdong Provincial Key Laboratory IRADS, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China.
Motivation: The increasing accessibility of large-scale protein sequences through advanced sequencing technologies has necessitated the development of efficient and accurate methods for predicting protein function. Computational prediction models have emerged as a promising solution to expedite the annotation process. However, despite making significant progress in protein research, graph neural networks face challenges in capturing long-range structural correlations and identifying critical residues in protein graphs.
View Article and Find Full Text PDFSpreading dynamics of information on online social networks.
Proc Natl Acad Sci U S A
January 2025
Department of Statistics and Data Science, College of Science, Southern University of Science and Technology, Shenzhen 518055, China.
Social media is profoundly changing our society with its unprecedented spreading power. Due to the complexity of human behaviors and the diversity of massive messages, the information-spreading dynamics are complicated, and the reported mechanisms are different and even controversial. Based on data from mainstream social media platforms, including WeChat, Weibo, and Twitter, cumulatively encompassing a total of 7.
View Article and Find Full Text PDFProlonged grief disorder symptoms and posttraumatic growth among Chinese shidu parents: A latent transition analysis.
Psychol Trauma
January 2025
Department of Experimental Psychology, University of Oxford.
Objective: Chinese shidu parents (bereaved parents who have lost the only child) may experience prolonged grief disorder, as well as posttraumatic growth (PTG). This study aimed to examine their latent classes and transition patterns of prolonged grief disorder symptoms and PTG.
Method: Based on a longitudinal design, 265 shidu parents completed the Prolonged Grief Scale-Revised and Short Form of Posttraumatic Growth Inventory for Chinese Shidu Parents twice with an interval of about 5 months.
Parental Stress, Learned Helplessness, and Perceived Social Support in Mothers of Children with Hearing Loss and Mothers of Typically Developing Children.
Audiol Res
December 2024
Department of Audiology and Speech Language Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
Hearing loss in children can have a detrimental impact on their development, thus lowering the psychological well-being of parents. This study examined the amount of parental stress, learned helplessness, and perceived social support in mothers of children with hearing loss (MCHL) and mothers of typically developing children (MTDC), as well as the relationship between various possible contributing factors to parental stress such as learned helplessness and perceived social support. Three questionnaires measured parental stress (Parental Stress Scale; PSS), learned helplessness (Learned Helplessness Scale; LHS), and perceived social support (Perceived Social Support-Friends PSS-Fr and Perceived Social Support-Family PSS-Fa Scale) in 100 MCHL and 90 MTDC.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!