Search research articles

Related Concept Videos

Kidney Structure

Kidney Structure

The kidneys are two large bean-shaped organs located in the upper abdomen. They filter the blood several times a day to remove toxins and rebalance water and electrolytes of the circulatory system via the renal veins. The kidneys receive blood directly from the heart via the renal arteries. These arteries enter the kidney at the hilum, the concave surface of the bean, where they branch and divide into smaller vessels and capillaries.

Internal Anatomy of the Kidney

Internal Anatomy of the Kidney

The kidneys are essential organs in the human body, performing a myriad of tasks that maintain homeostasis and overall health.
Anatomical Position and Dimensions
The kidneys are retroperitoneal organs positioned against the posterior abdominal wall on either side of the spine, roughly between the twelfth thoracic and third lumbar vertebrae. Each kidney is typically 10-12 cm long, 5-6 cm wide, and 3-4 cm thick, weighing about 150 grams.
Renal Cortex
The outermost region of the kidney is the...

External Anatomy of the Kidney

External Anatomy of the Kidney

The kidneys are a pair of bean-shaped organs in the human body that play a critical role in maintaining overall health. They filter out waste products from the blood, regulate blood pressure, maintain electrolyte balance, and stimulate the production of red blood cells.
The kidneys are located in the retroperitoneal space on either side of the vertebral column, protected posteriorly by the 11th and 12th ribs. The right kidney sits slightly lower than the left owing to the presence of the liver...

You might also read

Related Articles

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

Sort by

Same author

Approaches To Managing Relapsed Myeloma: Switching Drug Class or Retreatment With Same Drug Class?

Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion·2025

Same author

Plant-based calcitriol reduced the requirements of calcium and available phosphorus in broiler chicken diet.

British poultry science·2025

Same author

Practical guidance on the prevention and management of infection in multiple myeloma patients: A case-based approach.

Blood reviews·2025

Same author

6-Bromo-9,9-diethyl-<i>N</i>,<i>N</i>-di-phenyl-fluoren-2-amine.

IUCrData·2025

Same author

(1<i>H</i>-Benzo-diazol-2-ylmeth-yl)di-ethyl-amine.

IUCrData·2024

Same author

Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization.

Frontiers in plant science·2024

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

Search research articles

Related Experiment Video

Updated: May 17, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

An intelligent knowledge mining model for kidney cancer using rough set theory.

M A Saleem Durai¹, D P Acharjya, A Kannan

¹School of Computing Sciences and Engineering, VIT University, Vellore 632014, Tamilnadu, India. masaleemdurai@vit.ac.in

International Journal of Bioinformatics Research and Applications

|October 13, 2012

Summary

This study introduces the rough set approach for improved kidney cancer diagnosis by analyzing complex patient data. The method offers a viable alternative for accurate medical pattern recognition and diagnosis.

More Related Videos

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: May 17, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

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:

Medical Informatics
Data Mining
Computational Intelligence

Background:

Medical diagnosis is complex, involving varied symptoms and disease relationships.
Existing methods may struggle with data heterogeneity and assumptions.
The rough set approach offers a robust alternative for handling complex diagnostic data.

Purpose of the Study:

To apply rough set theory as a data mining tool for kidney cancer faulty diagnosis.
To derive meaningful patterns and diagnostic rules from historical medical data.
To evaluate the practical viability of rough set theory in medical diagnosis.

Main Methods:

Utilizing rough set theory for pattern recognition and rule induction.
Applying the approach to historical kidney cancer patient data.
Validating the derived rules using data from twenty-five medical institutions.

Main Results:

The rough set approach successfully identified patterns and rules for kidney cancer diagnosis.
The method demonstrated practical viability in analyzing complex medical datasets.
Derived rules showed potential for improving diagnostic accuracy.

Conclusions:

Rough set theory is an effective data mining tool for medical diagnosis.
The approach handles diverse data types without probabilistic assumptions.
This methodology shows promise for enhancing kidney cancer diagnostic processes.