Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing01:23

Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing

11.7K
Focusing involves centering a conversation on a message's critical elements or concepts. Focusing is valuable if the talk is vague or patients begin to repeat themselves. Sometimes, when patients are asked about their symptoms, they may go off-topic and try to tell their entire life story. Respectfully, the nurse should bring the conversation back into focus.
This therapeutic technique can also be used when a patient brings up pertinent information during a health-related conversation. The...
11.7K
Leveling Effect01:29

Leveling Effect

1.4K
In acid-base chemistry, the leveling effect refers to the limitation imposed by the solvent on the strength of acids and bases in solution. When a base stronger than the solvent's conjugate base is used, it deprotonates the solvent until the base is entirely consumed, making it ineffective against weaker acids. Conversely, an acid stronger than the solvent's conjugate acid protonates the solvent until the acid is depleted, rendering it ineffective against weaker bases. Essentially, the...
1.4K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

784
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
784
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

735
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
735
Levels of Organization01:09

Levels of Organization

141.4K
Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...
141.4K
Fermi Level01:18

Fermi Level

1.9K
The Fermi-Dirac function is represented by an S-shaped curve indicating the probability of an energy state being occupied by an electron at a given temperature. The Fermi level is the energy level at which there is a fifty percent chance of finding an electron, and it is positioned between the lower-energy valence band and the higher-energy conduction band.
At absolute zero temperature, electrons fill all energy states up to the Fermi level, leaving upper states empty. As the temperature rises,...
1.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Computational pathology in precision oncology: Evolution from task-specific models to foundation models.

Chinese medical journal·2025
Same author

Pathway-Aware Multimodal Transformer (PAMT): Integrating Pathological Image and Gene Expression for Interpretable Cancer Survival Analysis.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Small-molecule BTK inhibitors: From discovery to clinical application.

Bioorganic chemistry·2025
Same author

New FDA drug approvals for 2024: Synthesis and clinical application.

European journal of medicinal chemistry·2025
Same author

Diagnostic and prognostic significance of miR-451a in patients with atherosclerosis.

Vascular·2021
Same author

Association of miR-192-5p with Atherosclerosis and its Effect on Proliferation and Migration of Vascular Smooth Muscle Cells.

Molecular biotechnology·2021

Related Experiment Video

Updated: Feb 9, 2026

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
08:17

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

11.2K

WSISum: WSI summarization via dual-level semantic reconstruction.

Baizhi Wang1, Kun Zhang1, Yuhao Wang1

  • 1School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China; Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advanced Research, USTC, Suzhou Jiangsu, 215123, China.

Medical Image Analysis
|February 7, 2026
PubMed
Summary
This summary is machine-generated.

WSISum efficiently summarizes gigapixel whole slide images (WSIs) by extracting key patches. This reduces computational costs for tasks like cancer subtyping and biomarker prediction.

Keywords:
Computational pathologyKnowledge distillationMasked reconstructionWSI summarization

More Related Videos

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.9K
Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
08:01

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach

Published on: August 24, 2018

9.5K

Related Experiment Videos

Last Updated: Feb 9, 2026

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
08:17

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

11.2K
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.9K
Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
08:01

Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach

Published on: August 24, 2018

9.5K

Area of Science:

  • Digital Pathology
  • Computational Biology
  • Medical Imaging

Background:

  • Gigapixel whole slide images (WSIs) contain redundant data, causing high computational, storage, and transmission burdens.
  • Automatic WSI summarization is crucial for efficient analysis and reducing these overheads.

Purpose of the Study:

  • To introduce WSISum, a novel framework for automatic whole slide image summarization.
  • To develop a method that extracts a compact, representative subset of patches from WSIs.

Main Methods:

  • WSISum employs a dual-level semantic reconstruction approach.
  • It integrates low-level patch reconstruction using clustering-based sparse sampling.
  • High-level slide reconstruction is achieved through knowledge distillation from WSI foundation models.

Main Results:

  • WSISum effectively reduces computational costs associated with WSI processing.
  • The framework demonstrates satisfactory performance across various downstream tasks.
  • Successful applications include cancer subtyping, biomarker prediction, and metastasis subtyping.

Conclusions:

  • WSISum provides an efficient solution for whole slide image summarization.
  • The dual-level reconstruction strategy enhances patch selection and representation.
  • This approach significantly lowers computational demands while maintaining performance in critical diagnostic tasks.