Cover Image

Detection of Tuberculosis Based on Hybridized Pre-Processing Deep Learning Method

Saved in:

Bibliographic Details
Main Authors:	Elashmawy, Mohamed Ahmed, Elamvazuthi, Irraivan, Izhar, Lila Iznita, Paramasivam, Sivajothi, Su, Steven
Format:	Article
Published:	Science and Information (SAI) Organization Limited 2023
Online Access:	http://scholars.utp.edu.my/id/eprint/37695/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detection of Tuberculosis Based on Hybridized Pre-Processing Deep Learning Method
by: Elashmawy, M.A., et al.
Published: (2023)

A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
by: Elashmawy, A.M.A., et al.
Published: (2021)

A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning
by: ELASHMAWY, MOHAMED AHMED ABDELMOTAGALY MOHAMED
Published: (2024)

Breast Cancer Detection by Hybrid Techniques based on Deep Learning Networks
by: Azlan, Nur Aainaa Nadirah, et al.
Published: (2021)

Ensemble deep learning for tuberculosis detection
by: Ahmad Hijazi, Mohd Hanafi, et al.
Published: (2020)

Multi-Modality Detection Methods for Work Related Musculoskeletal Disorders (WMSD)
by: Elashmawy, Mohamed Ahmed
Published: (2019)

Tuberculosis detection using deep learning and contrastenhanced canny edge detected X-Ray images
by: Kieu, Stefanus Tao Hwa, et al.
Published: (2020)

Breast Cancer Detection by Hybrid Techniques based on Deep Learning Networks
by: Azlan, N.A.N., et al.
Published: (2021)

Tuberculosis detection using deep learning and contrast-enhanced canny edge detected X-Ray images
by: Kieu, Stefanus Tao Hwa, et al.
Published: (2020)

Bypassing MRI pre-processing in Alzheimer's disease diagnosis using deep learning detection network
by: Fong, Jia Xian, et al.
Published: (2020)

Bypassing mri pre-processing in alzheimer's disease diagnosis using deep learning detection network
by: Fong, Jia Xian, et al.
Published: (2020)

Auto-lesion segmentation with a novel intensity dark channel prior for COVID-19 detection
by: Saleh, Basma Jumaa, et al.
Published: (2023)

Study of Critical Success Factors in Engineering Education Curriculum Development Using Six-Sigma Methodology
by: Sivajothi, Paramasivam, et al.
Published: (2012)

Enhancing a hybrid pre-processing and transformation process for code clone detection in .Net application
by: Mubarak-Ali, Al-Fahim, et al.
Published: (2015)

The Role of Polymerase Chain Reaction (PCR) in Diagnosis of Spine Tuberculosis after Pre-operative Anti-tuberculosis Treatment
by: Ahmad Hata, Rasit, et al.
Published: (2011)

Cancer detection using image processing and machine/deep learning methods
by: Leong, Zeh Zen
Published: (2022)

A Grad-CAM-based knowledge distillation method for the detection of tuberculosis
by: Ding, Zeyu, et al.
Published: (2023)

Development and effectiveness of tuberculosis risk score for smokers in tuberculosis screening uptake and detection
by: Khalid, Tengku Noor Farhana Tengku
Published: (2022)

Electrochemical immunosensor for detection of Mycobacterium tuberculosis
by: Mohd Azmi, Umi Zulaikha, et al.
Published: (2018)

DeepIoT.IDS: hybrid deep learning for enhancing IoT network intrusion detection
by: Maseer, Ziadoon K., et al.
Published: (2021)

DeepIoT.IDS: Hybrid deep learning for enhancing IoT network intrusion detection
by: A. Mostafa, Salama, et al.
Published: (2021)

Noisy image classification using hybrid deep learning methods
by: Roy, Sudipta Singha, et al.
Published: (2018)

Urbanisation process and the prevalence of tuberculosis in Malaysia
by: Khairiah Salwa Mokhtar,, et al.
Published: (2015)

Esophagus detection using deep learning method
by: Nor Muhammad, Nor Aziah Amirah, et al.
Published: (2021)

Mask detection using deep learning method
by: Tan, Yu Xuan
Published: (2022)

Study of the Effectiveness of the Implementation of Washington Accord in Malaysia's Engineering Undergraduate Programme Using SEM
by: Kanesan Muthusamy,, et al.
Published: (2013)

Enhancement of tuberculosis detection using ensemble classifier with Quadtree method: A preliminary study
by: Chong, Joon Hou, et al.
Published: (2020)

Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
by: Mohammed, Badiea Abdulkarem, et al.
Published: (2022)

Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.]
by: Mazani, Muhammad Naim, et al.
Published: (2020)

Diagnostic challenges and Gene-Xpert utility in detecting Mycobacterium tuberculosis among suspected cases of pulmonary tuberculosis
by: Shaila Kabir, et al.
Published: (2021)

Entanglement Distillation Optimization Using Fuzzy Relations for Quantum State Tomography
by: Ganesan, Timothy, et al.
Published: (2023)

Entanglement Distillation Optimization Using Fuzzy Relations for Quantum State Tomography
by: Ganesan, Timothy, et al.
Published: (2023)

Immuno nanosensor for the ultrasensitive naked eye detection of tuberculosis
by: Mohd Bakhori, Noremylia, et al.
Published: (2018)

Electrochemical and optical-based immunosensor for detection of Mycobacterium tuberculosis
by: Mohd Bakhori, Noremylia
Published: (2019)

Is it tuberculosis or not?
by: Jamani, Nurjasmine Aida, et al.
Published: (2015)

Pre-processing strategies for skin detection using MLP
by: Chelsia Amy Doukim
Published: (2011)

New newborn jaundice monitoring scheme based on combination of pre-processing and color detection method
by: Muhammad Naufal, Mansor, et al.
Published: (2014)

Pre-processing Technique using Colour-based Feature Method to Detect Categories of Leaves Disease
by: Siti Haslinda, Miasin, et al.
Published: (2021)

Multimodal image registration for potential diagnosis and monitoring of morphoea using a hybrid NGC method
by: Izhar, L.I., et al.
Published: (2017)

Object detection and classification of butterflies using efficient CNN and pre-trained deep convolutional neural networks
by: Mattins, R.F., et al.
Published: (2023)