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

Linear time-invariant Systems01:23

Linear time-invariant Systems

942
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
942
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

378
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
378
Voltammetric Techniques: Linear-Scan (E vs Time)01:12

Voltammetric Techniques: Linear-Scan (E vs Time)

1.3K
Polarography is a classical voltammetric technique used to analyze electrochemical reactions. This method applies a linear potential sweep to a dropping mercury electrode (DME), and the resulting current is measured. A dropping mercury electrode is commonly used as the working electrode in polarography. It consists of a capillary tube filled with mercury, where the tiny droplet forms at the tip. This droplet continuously drops from the capillary, creating a new electrode surface for each...
1.3K
Encoding01:19

Encoding

875
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
875
pH Scale02:41

pH Scale

80.4K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
80.4K
Linear Equations01:27

Linear Equations

501
Linear equations form the foundation of many algebraic and real-world applications, characterized by their simplicity and utility. A linear equation is an algebraic statement in which each term is either a constant or a product of a constant and a single variable. These equations represent straight lines when plotted on a Cartesian coordinate plane, reflecting a constant rate of change between two quantities.A typical linear equation in one variable has the form: ax + b = c, where a, b, and c...
501

You might also read

Related Articles

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

Sort by
Same author

HyperNiche: Learning Heterophilic Cellular Niches with Hypergraph Neural Networks.

bioRxiv : the preprint server for biology·2026
Same author

The Importance of Primary Care Subject Matter Experts: Output Quality in Large Language Models Prompt Engineering.

Journal of the American Board of Family Medicine : JABFM·2026
Same author

Weak-to-strong generalization enables fully automated training of multi-head mask-RCNN model for segmenting densely overlapping cell nuclei in multiplex whole-slice brain images.

Frontiers in bioinformatics·2026
Same author

Better communication between rheumatologists and radiologists is key to improving MRI requesting and reporting data in axial spondyloarthritis: audit data from a single specialist centre.

Rheumatology advances in practice·2026
Same author

Artificial Intelligence in genomics: a comprehensive survey of methods, resources, challenges, and prospects.

Briefings in bioinformatics·2026
Same author

Cardiac Tamponade-A Rare Manifestation of Ruxolitinib Discontinuation Syndrome: A Case Report.

Case reports in cardiology·2026
Same journal

When is Enough Enough? A Proposed Termination Point for the Number of Replicates in Computational Simulations.

ArXiv·2026
Same journal

A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection.

ArXiv·2026
Same journal

Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings.

ArXiv·2026
Same journal

A beam--membrane biomechanical vocal fold model incorporating posturing and glottal conformation.

ArXiv·2026
Same journal

Analyzer-less X-ray Interferometry with Super-Resolution Methods.

ArXiv·2026
Same journal

Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching.

ArXiv·2026
See all related articles
  1. Home
  3. A Multi-scale Linear-time Encoder For Whole-slide Image Analysis.
  1. Home
  3. A Multi-scale Linear-time Encoder For Whole-slide Image Analysis.

Related Experiment Video

A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales
07:20

A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales

Published on: May 10, 2022

3.5K

A Multi-scale Linear-time Encoder for Whole-Slide Image Analysis.

Jagan Mohan Reddy Dwarampudi, Joshua Wong, Hien Van Nguyen

    Arxiv
    |February 12, 2026

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    We developed MARBLE, a novel Mamba-based framework for whole-slide image analysis. This efficient method improves accuracy and generalization in multi-scale biomedical image tasks.

    More Related Videos

    Multi-scale Analysis of Bacterial Growth Under Stress Treatments
    12:08

    Multi-scale Analysis of Bacterial Growth Under Stress Treatments

    Published on: November 28, 2019

    10.1K
    Author Spotlight: Advancing Human Cardiac Anatomy Through Multi-Scale Analysis of Hearts
    04:22

    Author Spotlight: Advancing Human Cardiac Anatomy Through Multi-Scale Analysis of Hearts

    Published on: June 28, 2024

    979

    Related Experiment Videos

    A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales
    07:20

    A Tissue Clearing Method for Neuronal Imaging from Mesoscopic to Microscopic Scales

    Published on: May 10, 2022

    3.5K
    Multi-scale Analysis of Bacterial Growth Under Stress Treatments
    12:08

    Multi-scale Analysis of Bacterial Growth Under Stress Treatments

    Published on: November 28, 2019

    10.1K
    Author Spotlight: Advancing Human Cardiac Anatomy Through Multi-Scale Analysis of Hearts
    04:22

    Author Spotlight: Advancing Human Cardiac Anatomy Through Multi-Scale Analysis of Hearts

    Published on: June 28, 2024

    979

    Area of Science:

    • Computational pathology
    • Artificial intelligence in medicine
    • Biomedical image analysis

    Background:

    • Whole-slide image (WSI) analysis is complex due to gigapixel sizes and multiple magnifications.
    • Existing multiple instance learning (MIL) methods often use single-scale analysis.
    • Transformer models face computational challenges with quadratic attention costs.

    Purpose of the Study:

    • Introduce MARBLE, a purely Mamba-based MIL framework for efficient WSI analysis.
    • Enable parallel processing of multiple magnification levels for integrated reasoning.
    • Provide a scalable and modular alternative to attention-based architectures.

    Main Methods:

    • Developed the Multi-scale Adaptive Recurrent Biomedical Linear-time Encoder (MARBLE).
  • Employed a Mamba-based state-space model for linear-time sequence modeling.
  • Implemented parallel processing of multiple WSI scales with coarse-to-fine reasoning.

    • Main Results:

    • MARBLE demonstrated significant performance improvements across five public datasets.
    • Achieved up to 6.9% increase in Area Under the Curve (AUC).
    • Showcased up to 20.3% improvement in accuracy and 2.3% in C-index.

    Conclusions:

    • MARBLE establishes a new standard for efficient and generalizable multi-scale WSI analysis.
    • The Mamba-based approach offers a scalable solution overcoming limitations of existing methods.
    • MARBLE effectively captures cross-scale dependencies with minimal parameter overhead.