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

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

318
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
318
Nuclear Fusion02:45

Nuclear Fusion

33.9K
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.9K
Altered States of Awareness01:06

Altered States of Awareness

1.2K
Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
1.2K
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

725
The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
725
Diffusion01:12

Diffusion

222.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
222.0K
Diffusion01:21

Diffusion

6.7K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.7K

You might also read

Related Articles

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

Sort by
Same author

UniOCTSeg++: Refined Hierarchical Prompt Strategy and Bi-directional Progressive Consistency Learning for Universal Retinal Layer Segmentation in OCT.

IEEE transactions on medical imaging·2026
Same author

The effects of 10 months of exercise on circulating ketone body concentration among children.

Pediatric research·2026
Same author

Functional Capacity and Gut Microbiota Shifts in Heart Failure Patients Following Cardiac Rehabilitation.

Journal of clinical medicine·2026
Same author

Intersectional expression of <i>Foxp2</i> and <i>Grp</i> identifies cold-activated parabrachial neurons.

American journal of physiology. Regulatory, integrative and comparative physiology·2026
Same author

From spatial maps to therapeutic targets: Next challenge for artificial intelligence in cancer spatial omics.

Chinese journal of cancer research = Chung-kuo yen cheng yen chiu·2026
Same author

Injectable Binary-Amplified Cascade Hydrogels Suppress Post-Incomplete Microwave Ablation Relapse via Integrated Metallo-Metabolic-Immunomodulation.

ACS nano·2026

Related Experiment Video

Updated: Feb 14, 2026

Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach
13:57

Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach

Published on: May 23, 2025

1.4K

SynLiTS: Phase Prompting-Driven Diffusion Synthesis and Context-Aware Fusion for Unaligned Liver Tumor Segmentation.

Shiyun Chen, Li Lin, Zhicheng Jin

    IEEE Transactions on Medical Imaging
    |February 12, 2026
    PubMed
    Summary

    This study introduces SynLiTS, a framework for synthesizing aligned multi-phase CT images to improve liver tumor segmentation. The method enhances diagnostic accuracy by overcoming data limitations and misalignment issues in medical imaging.

    More Related Videos

    Hepatocyte-specific Ablation in Zebrafish to Study Biliary-driven Liver Regeneration
    08:14

    Hepatocyte-specific Ablation in Zebrafish to Study Biliary-driven Liver Regeneration

    Published on: May 20, 2015

    9.1K
    Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends
    12:20

    Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends

    Published on: March 15, 2014

    15.0K

    Related Experiment Videos

    Last Updated: Feb 14, 2026

    Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach
    13:57

    Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach

    Published on: May 23, 2025

    1.4K
    Hepatocyte-specific Ablation in Zebrafish to Study Biliary-driven Liver Regeneration
    08:14

    Hepatocyte-specific Ablation in Zebrafish to Study Biliary-driven Liver Regeneration

    Published on: May 20, 2015

    9.1K
    Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends
    12:20

    Preparation of Segmented Microtubules to Study Motions Driven by the Disassembling Microtubule Ends

    Published on: March 15, 2014

    15.0K

    Area of Science:

    • Medical Imaging
    • Artificial Intelligence
    • Oncology

    Background:

    • Multi-phase CT scans are crucial for liver cancer diagnosis and prognosis.
    • Liver tumor segmentation is essential but hindered by spatial misalignments and limited high-quality datasets.

    Purpose of the Study:

    • To develop a novel framework, SynLiTS, for multi-phase liver tumor segmentation.
    • To address challenges of spatial misalignments and data scarcity in multi-phase CT datasets.

    Main Methods:

    • Synthesized multi-phase CTs with aligned liver tumors using pseudo-normal CTs generated by an FFC-based Inpainter.
    • Employed a phase prompting-driven diffusion model to create diverse, aligned multi-phase liver tumor CTs.
    • Constructed a real multi-phase liver tumor dataset (MPLiTS) and trained a segmentation model with a context-aware fusion module.

    Main Results:

    • The SynLiTS framework successfully synthesized multi-phase CTs with perfectly aligned liver tumor labels.
    • Training on synthesized and real data improved liver tumor segmentation performance.
    • Evaluations on internal and external datasets demonstrated superior performance compared to state-of-the-art methods.

    Conclusions:

    • SynLiTS effectively synthesizes aligned multi-phase CT data, overcoming key limitations in liver tumor segmentation.
    • The proposed method significantly advances the accuracy and reliability of liver tumor segmentation in clinical practice.
    • The framework offers a promising solution for improving liver cancer diagnosis and prognosis through enhanced medical image analysis.