Kidney Boundary Detection Algorithm Based on Extended Maxima Transformations for Computed Tomography Diagnosis
This article describes the automated computed tomography (CT) image processing technique supporting kidney detection. The main goal of the study is a fully automatic generation of a kidney boundary for each slice in the set of slices obtained in the computed tomography examination. This work describ...
Main Authors: | Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/21/7512 |
Similar Items
-
A Systematic Review on the Role of Artificial Intelligence in Sonographic Diagnosis of Thyroid Cancer: Past, Present and Future
by: Fatemeh Abdolali, et al.
Published: (2020-12-01) -
Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Diagnosis for Breast Microcalcification on Mammography
by: Yoon Ah Do, et al.
Published: (2021-08-01) -
Study Processes and Applications of Ultrasomics in Precision Medicine
by: Rui Yin, et al.
Published: (2020-09-01) -
Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks
by: Muhammad Naseer Bajwa, et al.
Published: (2020-04-01) -
Artificial intelligence in medical image processing: progress and prospect
by: WU Y, et al.
Published: (2021-09-01)