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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

You might also read

Related Articles

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

Sort by
Same author

[Scapular belt for the treatment of comminuted fractures of scapula].

Zhongguo gu shang = China journal of orthopaedics and traumatology·2010
Same author

Manipulation of ordered nanostructures of protonated polyoxometalate through covalently bonded modification.

Chemistry (Weinheim an der Bergstrasse, Germany)·2010
Same author

Developments in nonsteroidal antiandrogens targeting the androgen receptor.

ChemMedChem·2010
Same author

Dynamic presentation of immobilized ligands regulated through biomolecular recognition.

Journal of the American Chemical Society·2010
Same author

[Research on crop-weed discrimination using a field imaging spectrometer].

Guang pu xue yu guang pu fen xi = Guang pu·2010
Same author

A palladium/copper bimetallic catalytic system: dramatic improvement for Suzuki-Miyaura-type direct C-H arylation of azoles with arylboronic acids.

Chemistry (Weinheim an der Bergstrasse, Germany)·2010

Related Experiment Video

Updated: Jun 14, 2026

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

20.0K

Scan-Invariant Mamba With Differentiated Sequence Contrastive Learning in Computational Pathology.

Sheng Huang, Xin Zhang, Xiang Zhu

    IEEE Transactions on Medical Imaging
    |February 27, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Scan-invariant Mamba with Differentiated Sequence Contrastive Learning (SMDC-MIL) addresses Mamba

    More Related Videos

    Comparative Lesions Analysis Through a Targeted Sequencing Approach
    08:16

    Comparative Lesions Analysis Through a Targeted Sequencing Approach

    Published on: November 5, 2019

    7.3K
    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    2.8K

    Related Experiment Videos

    Last Updated: Jun 14, 2026

    Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
    11:02

    Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

    Published on: October 18, 2013

    20.0K
    Comparative Lesions Analysis Through a Targeted Sequencing Approach
    08:16

    Comparative Lesions Analysis Through a Targeted Sequencing Approach

    Published on: November 5, 2019

    7.3K
    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    2.8K

    Area of Science:

    • Computational pathology
    • Artificial intelligence in histopathology
    • Deep learning for medical imaging

    Background:

    • Whole Slide Images (WSIs) in histopathology present challenges for Multiple Instance Learning (MIL) due to high resolution and coarse labels.
    • Mamba architecture applied to WSI classification treats MIL as long-sequence tasks, but is sensitive to scanning modes, conflicting with MIL's need for scan-invariant predictions.

    Purpose of the Study:

    • To develop a novel Mamba-based MIL approach for histopathological analysis that achieves scan-invariant predictions.
    • To enable bag-level feature learning independent of input scanning modes in Mamba-based MIL.

    Main Methods:

    • Proposed Scan-invariant Mamba with Differentiated Sequence Contrastive Learning (SMDC-MIL).
    • Introduced a differentiated sequence generation mechanism using instance rearrangement, augmentation, and masking to simulate scanning variations.
    • Implemented a differentiated sequence contrastive learning architecture to enforce consistent bag-level representations across diverse sequences.

    Main Results:

    • SMDC-MIL demonstrated state-of-the-art performance across 4 computational pathology tasks and 10 datasets.
    • The method effectively mitigates scanning-mode impacts on Mamba's predictions.
    • Achieved scan-invariant feature learning for robust WSI classification.

    Conclusions:

    • SMDC-MIL successfully adapts Mamba for scan-invariant MIL in histopathology.
    • The proposed approach enhances the reliability and performance of Mamba-based WSI classification.
    • This work offers a promising direction for applying Mamba in computational pathology.