Digimammocad: a new deep learning-based cad system for mammogram breast cancer diagnosis with mass identification

Worldwide Breast Cancer (BC) is the most severe cancer in women. There are no outward symptoms at an early stage and the survival rate decreases with the increasing stage. So, only regular screening can save a life. Mammography is the gold standard imaging modality used for regular BC screening due...

Full description

Bibliographic Details
Main Author:	Bagchi, Susama
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	R855-855.5 Medical technology
Online Access:	http://eprints.uthm.edu.my/8493/
Abstract	Abstract here

Similar Items

Establishment of checklist of design for safety (DfS), life cycle analysis (LCA) and design for manufacturing (DFM) for ivd medical device based on IEC 60601
by: Azman, Naqibah
Published: (2021)

Design and implementation of low cost wireless stethoscope
by: Husen, Abdurezak Tahir
Published: (2017)

al-Imam Ahmad bin Hanbal dan sumbangannya dibidang hadith dengan menump ukan kajian terhadap musnadnya
by: Jawiah Dakir
Published: (2023)

Ahmad bin Hanbal : his sufi doctrines with special reference to Kitab Al-Zuhd
by: Rohaya binti Sulaiman, et al.
Published: (2024)

Mammogram breast mass classification using deep convolutional neural network / Mohd Nafie Maslan
by: Mohd Nafie, Maslan
Published: (2022)

Detection of Masses and Microcalcifications in Digital Mammogram Images
by: Langarizadesh, Mostafa
Published: (2011)

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

Multi-fractal dimension features by enhancing and segmenting mammogram images of breast cancer
by: Dilovan Asaad Majeed Zebari
Published: (2025)

Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis / Pang Ting
by: Pang , Ting
Published: (2022)

Mammogram breast cancer nodule localization based on massive training support vector machine
by: Ashwaq Mukred Saeed Qasem (P56124)
Published: (2023)

A Preliminary Study Of Risk Factors Of Breast Cancer And The Usefulness Of Breast MRI As An Addition To Mammography In Detecting Breast Cancer In High Risk Women
by: Hashim, Nur Hashamimi
Published: (2016)

Microcalcification detection in mammography for early breast cancer diagnosis using deep learning technique / Leong Yew Sum
by: Leong, Yew Sum
Published: (2022)

Effect of cisplatin on triple negative breast cancer
by: Hend Salaheldien Ahmed Elnour
Published: (2025)

Breast Cancer Diagnosis Using Neuro-CBR Approach
by: Norlia, Md. Yusof
Published: (2005)

Segmenting microcalcification in fullfield digital mammogram using seed-based region growing and mathematical morphology / Aminah Abdul Malek
by: Abdul Malek, Aminah
Published: (2012)

Identification of new therapeutic targets in breast cancer using chromatin engineering
by: Hasmawati Yahaya
Published: (2023)

A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases
by: Ngah, Umi Kalthum
Published: (2007)

Expression Of Monoclonal Antibody IBMR3 Antigen In Breast Cancer Tissue
by: Gazem, Ekhlas Qaid
Published: (2016)

Application of Proteomics Approaches in the Identification of New Markers and Therapeutic Targets for Breast Cancer
by: Moh’d Hamadneh, Lama Abdel Qader
Published: (2008)

Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach
by: Othman, Khairulnizam
Published: (2022)

Prediction of breast cancer diagnosis using machine learning in Malaysian women
by: Mokhtar, Tengku Muhammad Hanis Tengku
Published: (2024)

The Effect Of Aflatoxin B1 And Ochratoxin A On Tumor Related Genes In Immortalized And Breast Cancer Cells
by: Ahmed Adam, Mowaffaq Adam
Published: (2019)

Growth inhibitory effects of CD40L expressed breast cancer cells fused with dendritic cells
by: Ermi Fazliza Baharudin
Published: (2025)

Enhancing human breast cancer cells destruction using combination of adenovirus expressing P53 and hyperthermia treatment
by: Asita Elengoe
Published: (2025)

Effectiveness of tree-based pipeline optimization tools and grid search method in breast cancer prediction
by: Mat Radzi, Siti Fairuz
Published: (2021)

Thermography based deep learning models for early breast cancer detection
by: Al-Husaini, Mohammed Abdulla Salim
Published: (2024)

Scurrula ferruginea methanol extract induces reactive oxygen species-mediated and mitochondrial-dependent apoptosis in breast cancer cells
by: Mohsen Marvi Baigi
Published: (2025)

Breast cancer diagnosis using particle swarm optimization and fuzzy rule-based system
by: Alikar Najmeh (P53645)
Published: (2023)

Investigation of ergosterol and chitin for the diagnosis of invasive fungal infections
by: Ahmad Sh. Ahmad Al-Ani
Published: (2025)

In Vitro Investigation Of Cytotoxicity And Apoptosis Induction By Methanol Extract Of Calophyllum Inophyllum Fruit In MCF-7 Human Breast Cancer Cell Line
by: Shanmugapriya, Shanmugapriya
Published: (2016)

2024_Optimizing Deep Learning Models For Accurate Breast Cancer And Diabetes Predictions
by: Muhamad Amierusyahmi Bin Zuhairi
Published: (2024)

Assessing signal quality indices (SQI) for heart sound diagnosis
by: Amy Sahida Soetarman
Published: (2025)

In-Vivo Induced Antigens Of Toxoplasma Gondii And Their Application In Diagnosis Of Human Toxoplasmosis
by: Amerizadeh, Atefeh
Published: (2015)

Assessment of risk factors and identification of potential biomarkers associated with breast cancer-related lymphedema in Malaysian breast cancer survivors
by: Md Yusof, Khairunnisa'
Published: (2022)

Early-stage lung cancer diagnosis using new regression features and machine learning
by: Jafery, Nurul Najiha
Published: (2025)

Non-invasive early diagnosis of deep vein thrombosis
by: Zainal Abidin, Ahmad Noor Ariff
Published: (2015)

Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
by: Ghulam , Murtaza
Published: (2021)

Characterisation Of Agarose Gel As Breast Mimicking Material
by: Jamil, Munirah
Published: (2016)

A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].
by: Ngah, Umi Kalthum
Published: (2007)

Identification Of Potential Biomarkers In Breast Cancer Tissues Among Malaysian Patients
by: Lim , Chu Ai
Published: (2011)