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

Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

28.1K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
28.1K
The Uncertainty Principle04:08

The Uncertainty Principle

31.8K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
31.8K
Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

308
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.
308
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

51.5K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
51.5K
Altered States of Awareness01:06

Altered States of Awareness

1.1K
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...
1.1K
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

702
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...
702

You might also read

Related Articles

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

Sort by
Same author

HER2-Low Breast Cancer at the Interface of Pathology and Technology: Toward Precision Management.

Biomedicines·2026
Same author

Toward non-invasive diagnostics through AuNSs@Nano-MIP biosensor for sensitive lactoferrin detection in sweat.

Talanta·2025
Same author

Cap-Drop: A Pre-Programmed, Self-Powered Capillary Microfluidic System for Passive Droplet Generation and 3D Cell Culture Modeling.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Integrating advanced Microfluidic lateral flow systems with a finger-prick blood collection cartridge to create an all-in-one platform for point-of-care diagnostics.

Biosensors & bioelectronics·2024
Same author

Revolutionary Point-of-Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2024
Same author

Machine learning-enhanced drug testing for simultaneous morphine and methadone detection in urinary biofluids.

Scientific reports·2024

Related Experiment Video

Updated: Jan 29, 2026

Large-scale Gene Knockdown in C. elegans Using dsRNA Feeding Libraries to Generate Robust Loss-of-function Phenotypes
18:38

Large-scale Gene Knockdown in C. elegans Using dsRNA Feeding Libraries to Generate Robust Loss-of-function Phenotypes

Published on: September 25, 2013

12.4K

Robust colonoscopy polyp segmentation using dynamic-Nu T-Loss with multi-scale and uncertainty-aware adaptation.

Alireza Norouziazad1,2, Mahan Najafpour Ghazvini Fardshad1, Fatemeh Esmaeildoost1,3

  • 1Laboratory of Advanced Biotechnologies for Health Assessments (LAB-HA), Lassonde School of Engineering, York University, Toronto, ON, Canada.

Frontiers in Medicine
|January 28, 2026
PubMed
Summary

A novel dynamic loss function, DNA-TLoss, improves polyp segmentation in colonoscopy images by adaptively adjusting to image variations and incorporating multi-scale details. This leads to more accurate colorectal cancer detection and trustworthy AI-assisted diagnosis.

Keywords:
colonoscopy image analysisdeep learning in medical imagingdynamic-Nu T-Lossmulti-scale aggregationpolyp segmentationrobust loss function

More Related Videos

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.8K
A Robust Method for the Large-Scale Production of Spheroids for High-Content Screening and Analysis Applications
06:40

A Robust Method for the Large-Scale Production of Spheroids for High-Content Screening and Analysis Applications

Published on: December 28, 2021

3.9K

Related Experiment Videos

Last Updated: Jan 29, 2026

Large-scale Gene Knockdown in C. elegans Using dsRNA Feeding Libraries to Generate Robust Loss-of-function Phenotypes
18:38

Large-scale Gene Knockdown in C. elegans Using dsRNA Feeding Libraries to Generate Robust Loss-of-function Phenotypes

Published on: September 25, 2013

12.4K
E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.8K
A Robust Method for the Large-Scale Production of Spheroids for High-Content Screening and Analysis Applications
06:40

A Robust Method for the Large-Scale Production of Spheroids for High-Content Screening and Analysis Applications

Published on: December 28, 2021

3.9K

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Artificial Intelligence

Background:

  • Accurate polyp segmentation in colonoscopy is crucial for early colorectal cancer detection.
  • Challenges include image artifacts, appearance variability, and annotation noise.

Purpose of the Study:

  • Introduce dynamic-Nu T-Loss (DNA-TLoss), a robust, adaptive loss function for improved polyp segmentation.
  • Enhance the accuracy and reliability of computer-aided polyp detection systems.

Main Methods:

  • Developed DNA-TLoss with per-image learnable degrees-of-freedom, per-pixel precision weights, and multi-scale aggregation.
  • Integrated DNA-TLoss into a U-Net with a ResNet-34 encoder.
  • Evaluated on five public colonoscopy image benchmarks.

Main Results:

  • Achieved the lowest Hausdorff distance across all datasets, with an average reduction of 14.6% compared to T-Loss.
  • Obtained the lowest false discovery rate on all five datasets, outperforming T-Loss significantly.
  • Demonstrated best-in-class calibration with low expected calibration error.

Conclusions:

  • DNA-TLoss offers superior performance in polyp segmentation, addressing key challenges in colonoscopy imaging.
  • The method advances trustworthy, real-time computer-aided polyp detection for improved colorectal cancer screening.