Computer-Aided Detection of Brain Tumors Using Morphological Reconstruction

Computer-Aided Detection of Brain Tumors Using Morphological Reconstruction

Computer aided detection (CAD) systems helps the detection of abnormalities in medical images using advanced image processing and pattern recognition techniques. CAD has advantages in accelerating decision-making and reducing the human error in detection process. In this study, a CAD system is devel...

Full description

Bibliographic Details
Main Authors:	Buket DOĞAN, Seda KAZDAL ÇALIK, Önder DEMİR
Format:	Article
Language:	English
Published:	Bursa Uludag University 2016-11-01
Series:	Uludağ University Journal of The Faculty of Engineering
Subjects:	Biomedical image processing Image classification Morphological reconstruction Tumor Detection computer aided detection.
Online Access:	http://mmfdergi.uludag.edu.tr/article/view/5000185698

Similar Items

BEYİN TÜMÖRLERİNİN BİÇİMSEL YAPILANDIRMA KULLANILARAK BİLGİSAYAR DESTEKLİ TESPİTİ
by: Buket Doğan, et al.
Published: (2016-11-01)

Change Detection Based on Fusion Difference Image and Multi-Scale Morphological Reconstruction for SAR Images
by: Jiayu Xuan, et al.
Published: (2022-07-01)

A Multiscale Method for Infrared Ship Detection Based on Morphological Reconstruction and Two-Branch Compensation Strategy
by: Xintao Chen, et al.
Published: (2023-08-01)

Hybrid morphological-convolutional neural networks for computer-aided diagnosis
by: Martha Rebeca Canales-Fiscal, et al.
Published: (2023-09-01)

The image segmentation and polyp detection in colonoscopy images using computer aided detection (CAD)
by: Sunitha Gadipe, et al.
Published: (2024-01-01)

Enhancing anomaly detection in ground-penetrating radar images through reconstruction loss and high-variability
by: Ngoc Quy Hoang, et al.
Published: (2024-03-01)

A computer-aided diagnosis system for brain tumors based on artificial intelligence algorithms
by: Tao Chen, et al.
Published: (2023-07-01)

TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
by: Sarmad Maqsood, et al.
Published: (2022-03-01)

Brain Tumor Segmentation Using Deep Learning on MRI Images
by: Almetwally M. Mostafa, et al.
Published: (2023-04-01)

Hierarchical agglomerative clustering-based skin lesion detection with region based neural networks classification
by: M.V.S. Ramprasad, et al.
Published: (2023-10-01)

Validation of a Compact Microwave Imaging System for Bone Fracture Detection
by: Kesia C. Santos, et al.
Published: (2023-01-01)

Deep MR parametric imaging with the learned L+S model and attention mechanism
by: Wenyi Qu, et al.
Published: (2023-03-01)

The Multi-Scale Veto Model: A Two-Stage Analog Network for Edge Detection and Image Reconstruction
by: Dron, Lisa
Published: (2004)

Design of optoacoustic imaging system for deep penetration medical diagnostics
by: Yu Myat Noe Oo
Published: (2024)

Research on Photon-Integrated Interferometric Remote Sensing Image Reconstruction Based on Compressed Sensing
by: Jiawei Yong, et al.
Published: (2023-05-01)

Detection of Defective Regions in 3D Reconstruction to Support Image Acquisition
by: Seiya Ito, et al.
Published: (2017-09-01)

Identification, 3D-Reconstruction, and Classification of Dangerous Road Cracks
by: Souhir Sghaier, et al.
Published: (2023-03-01)

Fluorescent transgenic mouse models for whole-brain imaging in health and disease
by: Adrian Arias, et al.
Published: (2022-09-01)

Gap Measurement of Point Machine Using Adaptive Wavelet Threshold and Mathematical Morphology
by: Tianhua Xu, et al.
Published: (2016-11-01)

An Ensemble of Classifiers based Approach for Prediction of Alzheimer's Disease using fMRI Images based on Fusion of Volumetric, Textural and Hemodynamic Features
by: MALIK, F., et al.
Published: (2018-02-01)

SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline
by: Liya Ding, et al.
Published: (2023-06-01)

Application of Image Processing and 3D Printing Technique to Development of Computer Tomography System for Automatic Segmentation and Quantitative Analysis of Pulmonary Bronchus
by: Chung Feng Jeffrey Kuo, et al.
Published: (2022-09-01)

Change detection of remotely sensed image using NDVI subtractive and classification methods.
by: Israa Jameel Muhsin
Published: (2019-02-01)

Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks
by: Murat Uçar, et al.
Published: (2019-04-01)

Hyperspectral Anomaly Detection With Morphological Random Walker
by: Zhihong Huang, et al.
Published: (2021-01-01)

Image Detection of Insulator Defects Based on Morphological Processing and Deep Learning
by: Zhaoyun Zhang, et al.
Published: (2022-03-01)

Anomalies detection in asphalt pavements: a morphological image processing approach
by: Diego Buchinger, et al.
Published: (2014-04-01)

Identifying Diabetic Retinopathy in the Human Eye: A Hybrid Approach Based on a Computer-Aided Diagnosis System Combined with Deep Learning
by: Şükran Yaman Atcı, et al.
Published: (2024-02-01)

HyperVein: A Hyperspectral Image Dataset for Human Vein Detection
by: Henry Ndu, et al.
Published: (2024-02-01)

A partial sum of singular‐value‐based reconstruction method for non‐uniformly sampled NMR spectroscopy
by: Zhangren Tu, et al.
Published: (2021-02-01)

Enhancing optoacoustic mesoscopy through calibration-based iterative reconstruction
by: Urs A.T. Hofmann, et al.
Published: (2022-12-01)

A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks
by: Hüseyin Kutlu, et al.
Published: (2019-04-01)

Calibration and Image Reconstruction in a Spot Scanning Detection System for Surface Defects
by: Fan Wu, et al.
Published: (2020-04-01)

Low-contrast detectability and potential for radiation dose reduction using deep learning image reconstruction—A 20-reader study on a semi-anthropomorphic liver phantom
by: Tormund Njølstad, et al.
Published: (2022-01-01)

Average Subtraction Method for Image Reconstruction of Brain using ECVT for Tumor Detection
by: Rizky Maharani, et al.
Published: (2020-11-01)

Background Reconstruction via 3D-Transformer Network for Hyperspectral Anomaly Detection
by: Ziyu Wu, et al.
Published: (2023-09-01)

Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”
by: Chein-I Chang, et al.
Published: (2022-10-01)

E2VIDX: improved bridge between conventional vision and bionic vision
by: Xujia Hou, et al.
Published: (2023-10-01)

A dataset of pomegranate growth stages for machine learning-based monitoring and analysis
by: Jifei Zhao, et al.
Published: (2023-10-01)

Morphological Convolution and Attention Calibration Network for Hyperspectral and LiDAR Data Classification
by: Zhongwei Li, et al.
Published: (2023-01-01)