Adaptive fuzzy weighted median filter for microcalcifications detection in digital breast tomosynthesis images

QR Code

Adaptive fuzzy weighted median filter for microcalcifications detection in digital breast tomosynthesis images

Breast cancer is a global leading cause of female mortality. Digital breast tomosynthesis (DBT) is pivotal for early breast cancer detection, with microcalcifications serving as crucial indicators. However, the movement of the DBT machine introduces blurry artefacts, potentially impacting accurate d...

Full description

Bibliographic Details
Published in:	Indonesian Journal of Electrical Engineering and Computer Science
Main Author:	Saifudin S.A.; Sulaiman S.N.; Osman M.K.; Isa I.S.; Karim N.K.A.; Harron N.A.
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186682899&doi=10.11591%2fijeecs.v34.i1.pp197-209&partnerID=40&md5=332d48a94b6a6ab29688f978918dfab1

Similar Items

Microcalcification Detection for Digital Breast Tomosynthesis Images Using Faster-RCNN
by: Harron N.A.; Sulaiman S.N.; Nizam M.A.I.M.; Karim N.K.A.; Ani A.I.C.; Saifudin S.A.
Published: (2024)

FUZZY WEIGHTED MEDIAN FILTER WITH UNSHARP MASKING FOR ENHANCEMENT OF DBT IMAGES IN BREAST CANCER DETECTION
by: Saifudin S.A.; Sulaiman S.N.; Osman M.K.; Isa I.S.; A. Karim N.K.
Published: (2023)

CNN-SVM with data augmentation for robust blur detection of digital breast tomosynthesis images
by: Harron N.A.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Isa I.S.
Published: (2023)

LAPLACIAN-BASED BLUR DETECTION ALGORITHM FOR DIGITAL BREAST TOMOSYNTHESIS IMAGES IN IMPROVING BREAST CANCER DETECTION
by: Harron N.A.; Sulaiman S.N.; Osman M.K.; A. Karim N.K.; Isa I.S.
Published: (2023)

Enhancement of Corrupted Digital Mammogram Image Using Modified Median Filter
by: Sulaiman S.N.; Amran F.F.H.; Isa I.S.; Ahmad K.A.; Abdullah M.F.
Published: (2022)

Dual-feature CNN-SVM method for breast mass tissue abnormality classification on digital mammography images adapted to breast density
by: Razali N.F.; Isa I.S.; Sulaiman S.N.; Karim N.K.A.; Osman M.K.
Published: (2023)

Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results
by: Hamid, et al.
Published: (2024)

Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results
by: Ramli Hamid M.T.; Ab Mumin N.; Abdul Hamid S.; Ahmad Saman M.S.; Rahmat K.
Published: (2024)

Diagnostic Efficacy of Synthesized 2D Digital Breast Tomosynthesis in Multi-ethnic Malaysian Population
by: Mumin N.A.; Rahmat K.; Fadzli F.; Ramli M.T.; Westerhout C.J.; Ramli N.; Rozalli F.I.; Ng K.H.
Published: (2019)

Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection
by: Malek A.A.; Alias M.A.; Razak F.A.; Noorani M.S.M.; Mahmud R.; Zulkepli N.F.S.
Published: (2023)

Reply to “Critique of a Study on Breast Ultrasound as an Adjunct to Breast Tomosynthesis for Breast Cancer Screening and Diagnosis”
by: Rahmat K.; Ab Mumin N.
Published: (2024)

Reply to Critique of a Study on Breast Ultrasound as an Adjunct to Breast Tomosynthesis for Breast Cancer Screening and Diagnosis
by: Rahmat, et al.
Published: (2024)

Diagnostic accuracy of tomosynthesis-guided vacuum assisted breast biopsy of ultrasound occult lesions
by: Bohan S.; Ramli Hamid M.T.; Chan W.Y.; Vijayananthan A.; Ramli N.; Kaur S.; Rahmat K.
Published: (2021)

Optimization of ReLU Activation Function for Deep-Learning-based Breast Cancer Classification on Mammogram Images
by: Razali N.F.; Isa I.S.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Nordin S.A.
Published: (2024)

Segmentation of Breast Microcalcification Using Hybrid Method of Canny Algorithm with Otsu Thresholding and 2D Wavelet Transform
by: Azam A.S.B.; Malek A.A.; Ramlee A.S.; Suhaimi N.D.S.M.; Mohamed N.
Published: (2020)

Locational Analysis of Refuelling Stations using p-Median
by: Baharom N.; Shariff S.S.R.; Nasir N.
Published: (2024)

Comparison between mathematical morphology and Canny Edge Detection methods for image post processing techniques in segmenting microcalcification
by: Malek A.A.; Jalil U.M.A.; Mohamad D.N.F.P.; Muhamad N.A.; Hashim S.S.S.
Published: (2018)

Utilization of Adaptive Neuro Fuzzy Inference System (ANFIS) for Prediction of Sacha Inchi Seed Weight Based on Fruit Morphology and Fertilizer Treatment
by: Andayani S.A.; Wijaya A.A.; Prasetyo T.F.; Sukmasari M.D.; Gandaseca S.; Nainggolan M.F.; Sumekar Y.
Published: (2024)

High-level Features in Deeper Deep Learning Layers for Breast Cancer Classification
by: Razali N.F.; Isa I.S.; Sulaiman S.N.; Karim N.K.A.; Osman M.K.
Published: (2021)

A new fuzzy weighted multivariate regression to predict water quality index at perak rivers
by: Yasin M.I.; Karim S.A.A.
Published: (2020)

Microcalcifications segmentation using three edge detection techniques
by: Yasiran S.S.; Jumaat A.K.; Abdul Malek A.; Hashim F.H.; Dhaniah Nasrir N.; Azirah Sayed Hassan S.N.; Ahmad N.; Mahmud R.
Published: (2012)

Adapting to Changing Expectations: Accounting Students in the Digital Learning Environment
by: Shamsudin A.; Mamat S.N.; Pauzi N.F.M.; Karim M.S.
Published: (2023)

Comparison between GVF snake and ED snake in segmenting microcalcifications
by: Yasiran S.S.; Jumaat A.K.; Manaf M.; Ibrahim A.; Wan Eny Zarina W.A.R.; Malek A.; Laham M.F.; Mahmud R.
Published: (2011)

Adaptive CAPTCHA: A CRNN-Based Text CAPTCHA Solver with Adaptive Fusion Filter Networks
by: Wan X.; Johari J.; Ruslan F.A.
Published: (2024)

Sound Vibration Signal Enhancement for Bearing Fault Detection by Using Adaptive Filter: Adaptive Noise Canceling and Adaptive Line Enhancer
by: Sheikh Abdul Nasir S.M.F.; Abd Wahid K.A.; Farhan Saniman M.N.; Wan Muhammad W.M.; Abdul Rahim I.
Published: (2022)

Consensus clustering and fuzzy classification for breast cancer prognosis
by: Garibaldi J.M.; Soria D.; Rasmani K.A.
Published: (2010)

Seed point selection for seed-based region growing in segmenting microcalcifications
by: Malek A.A.; Rahman W.E.Z.W.A.; Yasiran S.S.; Jumaat A.K.; Jalil U.M.A.
Published: (2012)

Fuzzy Aras method with objective weight for solving logistic provider problem
by: Mohamad D.; Ahmad S.A.S.; Azhar H.
Published: (2024)

Modelling of extended de-weight fuzzy control for an upper-limb exoskeleton
by: Ali S.K.; Hussin M.; Hadi M.S.; Tokhi M.O.
Published: (2021)

Automated DeepLabV3+ based model for left ventricle segmentation on short-axis late gadolinium enhancement-magnetic cardiac resonance imaging images
by: Damit D.S.A.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Setumin S.
Published: (2024)

Modified BPNN via iterated least median squares, particle Swarm optimization and firefly algorithm
by: Md Ghani N.A.; Kamaruddin S.B.A.; Ramli N.M.; Musirin I.; Hashim H.
Published: (2017)

Evaluating the Performance of Synthetic Double Sampling np Chart Based on Expected Median Run Length
by: Tuh M.H.; Kon C.M.L.; Chua H.S.; Lau M.F.; Chang Y.H.R.
Published: (2023)

An automated multimodal white matter hyperintensity identification for MRI images using image processing
by: Isa I.; Sulaiman S.N.; Md. Tahir N.; Abdullah M.F.; Che Soh Z.H.; Mustapha M.; Karim N.K.A.
Published: (2017)

Image segmentation and feature extraction method for lung lesion detection in computed tomography images
by: Abdullah M.F.; Sulaiman S.N.; Osman M.K.; Setumin S.; Karim N.K.A.; Sahimi F.A.; Ani A.I.C.
Published: (2023)

Adjustment of the Height Triangular Fuzzy Regression as Early Awareness of Breast Cancer
by: Lidinillah Z.; Shafi M.A.; Rusiman M.S.; Nasibov E.; Abdul Rashid N.F.; Othman S.
Published: (2025)

Region and boundary segmentation of microcalcifications using seed-based region growing and mathematical morphology
by: Malek A.A.; Wan Abdul Rahman W.E.Z.; Ibrahim A.; Mahmud R.; Yasiran S.S.; Jumaat A.K.
Published: (2010)

Adaptive Neuro-Fuzzy Inference System for brain abnormality segmentation
by: Noor N.M.; Khalid N.E.A.; Hassan R.; Ibrahim S.; Yassin I.M.
Published: (2010)

Color-assisted Multi-input Convolutional Neural Network for Cancer Classification on Mammogram Images
by: Razali N.F.; Isa I.S.; Sulaiman S.N.; Karim N.K.A.; Osman M.K.
Published: (2023)

A new procedure for lung region segmentation from computed tomography images
by: Abdullah M.F.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Setumin S.; Isa I.S.
Published: (2022)

Exploratory analysis on the performance of K-means, Kmeans.fd and K-median in clustering contaminated PM10 functional data
by: Kamarulzalis A.H.; Shaadan N.; Deni S.M.
Published: (2024)