Formulation of a deep learning model for automated detection via segmentation of lung cancer

QR Code

Formulation of a deep learning model for automated detection via segmentation of lung cancer

In 2020, the International Agency for Research on Cancer recorded nearly 20 million new cases of cancer around the world. It is estimated that cancer will be the second biggest cause of mortality worldwide in 2020, with over 10 million deaths. In Malaysia, the recorded number of new cases and deaths...

Full description

Bibliographic Details
Main Authors:	Liew, Yee Zhing, Abdul Majeed, Anwar P.P
Format:	Article
Language:	English
Published:	Penerbit UMP 2024
Subjects:	TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/41839/ http://umpir.ump.edu.my/id/eprint/41839/1/Formulation%20of%20A%20Deep%20Learning%20Model%20for%20Automated%20Detection.pdf

Similar Items

Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
by: Ahmad Fakhri, Ab. Nasir, et al.
Published: (2019)

Automated detection of knee cartilage region in X-ray image
by: Teo, Jia Chern, et al.
Published: (2022)

Automated threshold detection for object segmentation in colour image
by: Akhtaruzzaman, Md., et al.
Published: (2016)

Deep learning based human presence detection
by: Venketaramana, Balachandran, et al.
Published: (2020)

Development of audio-visual speech recognition using deep-learning technique
by: How, Chun Kit, et al.
Published: (2022)

Intelligence Semi-Automated Wheelchair (Obstacle Detection System)
by: Liew, Yee Chang
Published: (2015)

Synthetic image data generation via rendering techniques for training AI-based instance segmentation
by: Kho, Dickson Yik Cheng, et al.
Published: (2026)

An improved segmentation method for lung cancer detection
by: Ahmad Amiruddin Almukhtar, Kamarudin
Published: (2019)

Automated detection and classification of Leukemia using deep learning
by: Lee, Kye Fung
Published: (2022)

The identification of significant features towards travel mode choice and its prediction via optimised random forest classifier : An evaluation for active commuting behavior
by: Nur Fahriza, Mohd Ali, et al.
Published: (2022)

The classification of FTIR plastic bag spectra via label spreading and stacking
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2021)

Heartbeat murmurs detection in phonocardiogram recordings via transfer learning
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2022)

Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
by: Goh, Ching Pang
Published: (2023)

Badminton smashing recognition through video performance by using deep learning
by: Yip, Zi Ying, et al.
Published: (2022)

Glove defect detection via YOLO V5
by: Yong, Chen How, et al.
Published: (2021)

Match outcomes prediction of six top English Premier League clubs via machine learning technique
by: Rabiu Muazu, Musa, et al.
Published: (2018)

Intelligent kitchen waste composting system via deep learning and internet-of-things (IoT)
by: Teh, Boon Hong, et al.
Published: (2024)

Breast Cancer Segmentation Based on GVF Snake
by: Mahfuzah, Mustafa, et al.
Published: (2014)

Human activity recognition based on wrist PPG via the ensemble method
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2022)

Automated fruit grading system
by: Wong, Kelvin Le Thai
Published: (2017)

Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
by: Nurul Afiqah, Zainal, et al.
Published: (2021)

Retinal vessel segmentation in fundus images using deep learning / Chen Chun Hui
by: Chen , Chun Hui
Published: (2021)

Automatic segmentation of CMRIs for LV contour detection
by: Amjad, Khan, et al.
Published: (2017)

Automated Fecal Parasite Detection System
by: Al-Sameraai, Raafat Salih Hadi, et al.
Published: (2013)

The diagnosis of COVID-19 by means of transfer learning through X-ray images
by: Amiir Haamzah, Mohamed Ismail, et al.
Published: (2021)

Kinematic variables defining performance of basketball free-throw in novice children : An information gain and logistic regression analysis
by: Afrouzeh, Mohsen, et al.
Published: (2022)

The application of modified equipment in retention of motor task performance amongst children of low and high working memory capacity
by: Musa, Rabiu Muazu, et al.
Published: (2022)

Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function
by: Choong, Chun Sern, et al.
Published: (2022)

Analysis of auditory evoked potential signals using wavelet transform and deep learning techniques
by: Islam, Md Nahidul, et al.
Published: (2020)

Morphological image segmentation for detection and classification of PCB defects
by: Indera Putera, Siti Hazurah
Published: (2007)

Robustness statistical graphs for the detection and diagnosis of some lung disease
by: Mohd. Noor, Norliza
Published: (2005)

Epidemiology, Detection and Management of Cancer: An Overview
by: Mohd Hafiz, Arzmi, et al.
Published: (2023)

Automatic Segmentation And Detection Of Mass In Digital Mammograms
by: Mat Isa, Nor Ashidi, et al.
Published: (2012)

Detection And Segmentation Of Mass Region In Mammogram Image
by: Ting, Shyue Siong
Published: (2014)

Review article of microwave imaging techniques and dielectric properties for lung tumor detection
by: Siti Nuranis, Muhammad, et al.
Published: (2020)

Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image
by: Nor Rul Hasma, Abdullah, et al.
Published: (2015)

Cyclist fall detection system via the internet of things (IoT)
by: Kit, Tam Jun, et al.
Published: (2023)

Automated Detection And Counting Of Pus Cells On Sputum Images
by: Rosyati, Hamid, et al.
Published: (2013)

Sunglass detection method for automation of video surveillance system
by: Tasriva, Sikandar, et al.
Published: (2018)

The formulation of a transfer learning pipeline for the classification of the wafer defects
by: Lim, Shi Xuen
Published: (2023)