Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Classification of Systems-II

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,

Classification of Systems-I

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:

Classification of Neurotransmitters

Classification of Neurotransmitters

Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...

Classification of Epithelial Tissues: Stratified Epithelium

Classification of Epithelial Tissues: Stratified Epithelium

Stratified epithelium consists of several stacked layers of cells. They provide the durability to withstand constant physical and chemical attacks. Stratified epithelium is named after the shape of the most apical layer of cells. Stratified squamous epithelium is the most common type found in the human body. In this tissue, the apical cells are squamous, whereas the basal layer contains either columnar or cuboidal cells. The basal cells divide to form new daughter cells, which gradually become...

Classification of Epithelial Tissues: Overview

Classification of Epithelial Tissues: Overview

Epithelial tissues are classified according to the shape of the cells and the number of cell layers formed. Cell shapes can be squamous (flattened and thin), cuboidal (square-like, as wide as it is tall), or columnar (rectangular, taller than it is wide). Additionally, the nucleus shape helps identify the type of epithelial cells. Squamous cells have flattened disc-shaped nuclei, cuboidal cells have spherical nuclei, and columnar cells have elongated nuclei.
Based on the number of cell layers,...

Aggregates Classification

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...

You might also read

Related Articles

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

Sort by

Same author

Association between elemental concentrations and chemotherapy-related acute adverse events in patients with nasopharyngeal carcinoma.

Pharmacological reports : PR·2026

Same author

Low handgrip strength prospectively predicts osteoporosis incidence in community-dwelling older adults: A population-based longitudinal analysis.

Experimental gerontology·2026

Same author

CircRSPRY1 regulates calcium oxalate crystal-induced necrotic apoptosis in renal tubules via miR-21-5p/PTEN.

Cell & bioscience·2026

Same author

Diagnostic Performance of Anti-Epstein-Barr Virus BNLF2b in Suspected Nasopharyngeal Carcinoma.

JAMA oncology·2026

Same author

Bidirectional Mendelian randomization analysis of the relationships between blood cell phenotypes, genetic variants, and systemic lupus erythematosus.

Medicine·2026

Same author

Final survival analysis of induction chemotherapy with lobaplatin and fluorouracil versus cisplatin and fluorouracil followed by concurrent chemoradiotherapy in nasopharyngeal carcinoma: a multicenter, randomized, phase 3 trial.

Nature communications·2026

Same journal

Retraction Notice: Regulation of skeletal myogenesis in C2C12 cells through modulation of Pax7, MyoD, and myogenin via different low-frequency electromagnetic field energies.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

The role of digital resources in surgical education: An analysis of YouTube videos on dynamic stabilization.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

Behavioral patterns in iGaming across territories: Psychiatric and AI-driven insights via the internet of behavior.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

Leveraging personal health records for early heart failure risk prediction through AI-driven modeling.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

From data to prevention: A systematic review of artificial intelligence applications in sports injury prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

Leadership styles and work outcome in healthcare sector: Insights from bibliometric analysis.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 4, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

HER2-ResNet: A HER2 classification method based on deep residual network.

Xingang Wang¹, Cuiling Shao¹, Wensheng Liu¹

¹School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine

|February 6, 2022

Summary

This summary is machine-generated.

This study introduces an improved residual network for classifying HER2 images, enhancing breast cancer assessment accuracy. The method aids in reducing detection intensity and improving diagnostic precision for HER2 gene expression.

Keywords:

Breast cancer HER2 classification deep neural network residual network

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Related Experiment Videos

Last Updated: Oct 4, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Area of Science:

Oncology
Medical Imaging
Computational Biology

Background:

HER2 gene expression is a key indicator for breast cancer detection, treatment, and targeted therapy selection.
Accurate evaluation of HER2 gene expression is crucial for effective clinical management of breast cancer.

Purpose of the Study:

To enhance the classification accuracy of HER2 images.
To develop an automated system for HER2 image classification.

Main Methods:

Utilized a residual network architecture to overcome overfitting issues common in deep convolutional neural networks.
Implemented an improved residual network for HER2 image classification, addressing limitations of traditional networks regarding layer depth and accuracy.

Main Results:

The proposed HER2 network demonstrated high accuracy in breast cancer assessment.
Experimental results confirmed the effectiveness of the improved residual network for HER2 image classification.

Conclusions:

The developed algorithm, tested on the Stanford University HER2 image database, significantly improved automatic classification accuracy.
This approach promises to reduce manual detection efforts and increase the precision of HER2 image classification in clinical settings.