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

Molecular Shapes01:18

Molecular Shapes

62.3K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
62.3K
Introduction and Methods of Leveling01:26

Introduction and Methods of Leveling

527
Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
527
Weighted Mean00:57

Weighted Mean

6.4K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
6.4K
Molecular Shape and Polarity03:37

Molecular Shape and Polarity

75.9K
Dipole Moment of a Molecule
75.9K
VSEPR Theory and the Basic Shapes02:52

VSEPR Theory and the Basic Shapes

85.3K
Overview of VSEPR Theory
85.3K
Atomic Weight01:25

Atomic Weight

13.8K
Protons and neutrons have approximately the same mass, about 1.67 × 10-24 grams. Scientists arbitrarily define this amount of mass as one atomic mass unit (amu) or one Dalton. Electrons are much smaller in mass than protons, weighing only 9.11 × 10-28 grams, or about 1/1800 of an atomic mass unit. As a result, they do not contribute much to an element's overall atomic mass. This means that, when considering atomic mass, it is customary to ignore the mass of any electrons and...
13.8K

You might also read

Related Articles

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

Sort by
Same journal

RETRACTION: An IoMT-Based Approach for Real-Time Monitoring Using Wearable Neuro-Sensors.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Image Risk Assessment of the Thyroid Cancer Model Based on Discriminant Analysis and the Value of TAP and CEA Combined Detection.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Meta-Analysis of the Prognostic Value of Narcotrend Monitoring of Different Depths of Anesthesia and Different Bispectral Index (BIS) Values for Cognitive Dysfunction after Tumor Surgery in Elderly Patients.

Journal of healthcare engineering·2026
Same journal

Correction to "Representation of Differential Learning Method for Mitosis Detection".

Journal of healthcare engineering·2026

Related Experiment Video

Updated: Feb 7, 2026

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

7.7K

3D Shape-Weighted Level Set Method for Breast MRI 3D Tumor Segmentation.

Chuin-Mu Wang1, Chieh-Ling Huang2, Sheng-Chih Yang1

  • 1Department of Computer Science and Information Engineering, National Chin Yi University of Technology, Taichung 41170, Taiwan.

Journal of Healthcare Engineering
|July 17, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces the 3D shape-weighted level set method (3D-SLSM) for precise tumor segmentation in 3D MR images. The novel method improves accuracy and efficiency over existing 3D segmentation techniques.

More Related Videos

Direct Bioprinting of 3D Multicellular Breast Spheroids onto Endothelial Networks
06:07

Direct Bioprinting of 3D Multicellular Breast Spheroids onto Endothelial Networks

Published on: November 2, 2020

5.4K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.5K

Related Experiment Videos

Last Updated: Feb 7, 2026

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

7.7K
Direct Bioprinting of 3D Multicellular Breast Spheroids onto Endothelial Networks
06:07

Direct Bioprinting of 3D Multicellular Breast Spheroids onto Endothelial Networks

Published on: November 2, 2020

5.4K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.5K

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Biomedical Engineering

Background:

  • 3D medical image segmentation is crucial for diagnosis but 2D methods are insufficient for 3D data.
  • Existing 3D segmentation methods often yield unsatisfactory results for precise tumor delineation.
  • Accurate segmentation of lesions and organs in 3D medical images is vital for effective medical diagnosis.

Purpose of the Study:

  • To propose a novel 3D shape-weighted level set method (3D-SLSM) for enhanced tumor segmentation in 3D MR images.
  • To improve the accuracy and efficiency of 3D medical image segmentation compared to existing approaches.
  • To validate the clinical feasibility of the proposed 3D-SLSM through quantitative analysis.

Main Methods:

  • Adapted the Level Set Method (LSM) into a 3D algorithm (3D-SLSM) for improved 3D image model calculations.
  • Incorporated a 3D shape-weighted value during iterative processes, adjusting for volume changes.
  • Evaluated 3D-SLSM using computer-simulated image sequences and actual breast MRI cases, comparing against existing 3D segmentation methods.

Main Results:

  • The 3D-SLSM demonstrated precise segmentation outcomes on both simulated and real breast MRI data.
  • The shape-weighted value enhanced convergence rate and reduced background noise, improving contour accuracy.
  • Quantitative comparisons showed superior performance of 3D-SLSM over existing 3D segmentation techniques.

Conclusions:

  • The proposed 3D-SLSM offers a significant advancement in 3D medical image segmentation, particularly for tumor delineation.
  • 3D-SLSM provides more accurate and efficient segmentation results, enhancing its potential for clinical applications.
  • The method's effectiveness in both simulated and real-world data underscores its robustness and utility in medical diagnosis.