Pilot study of breast cancer classification using deep learning approach

QR Code

Pilot study of breast cancer classification using deep learning approach

Breast cancer is harmful diseases and also the most common cancer causes of cancerrelated deaths among women. Traditional diagnosis and detection method requires a lot of experience, professional knowledge, and human sometimes might prone to fall diagnostic errors. The effective way to reduce the mo...

Full description

Bibliographic Details
Main Author:	Chong, Kim Yew
Format:	Final Year Project / Dissertation / Thesis
Published:	2020
Subjects:	Q Science (General)
Online Access:	http://eprints.utar.edu.my/3946/ http://eprints.utar.edu.my/3946/1/17ACB00134_FYP.pdf

Similar Items

Deep learning method based for breast cancer classification
by: Irmawati, Irmawati, et al.
Published: (2023)

CNN-based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma
by: Islam, Md. Tobibul, et al.
Published: (2024)

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

Studies on classification of FMRI data using deep learning approach
by: Mohd Suhaimi, Nur Farahana, et al.
Published: (2015)

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

A review on recent progress in machine learning and deep learning methods for cancer classification on gene expression data
by: Mazlan, A. U., et al.
Published: (2021)

Deep learning for image classification
by: Koi, Chin Chong
Published: (2024)

Deep action Classification: Toolset for benchmarking and visualizing action classification models
by: Khaw, Tatt Juen
Published: (2019)

Brain tumor image segmentation using deep learning approach
by: Darshan, Suresh
Published: (2022)

Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd
by: Nur Farahaina, Idris
Published: (2022)

Single-cell classification, analysis, and its application using deep learning techniques
by: Premkumar, R., et al.
Published: (2024)

Deep plant: A deep learning approach for plant classification / Lee Sue Han
by: Lee , Sue Han
Published: (2018)

Deep learning-based classification of breast tumors in ultrasound images / Ayub Ahmed Omar
by: Ayub Ahmed, Omar
Published: (2022)

Deep learning-based approach in plant species identification / Tan Jing Wei
by: Tan, Jing Wei
Published: (2018)

Deep learning based breast cancer detection system using fog computing
by: Welhenge, Anuradhi
Published: (2022)

Detection of robbery-related concepts using deep learning
by: Vivaaindrean, Ng Shamir Ng
Published: (2020)

Development of demand forecasting model for inventory management using deep learning approach via transfer learning
by: Tan, Wei Qing
Published: (2023)

Blood cell classification using deep learning
by: Liaw, Mun Kin
Published: (2022)

Video surveillance using deep learning with few data samples
by: Lian, Yee Fu
Published: (2020)

Cytokinetic study of uninfected agarwood branch ethanolic extract on breast cancer cells
by: Abbas, Phirdaous, et al.
Published: (2017)

Cytokinetic study of uninfected agarwood branch ethanolic extract on breast cancer cells
by: Abbas, Phirdaous, et al.
Published: (2016)

Evaluating the performance of machine learning techniques in the classification of Wisconsin Breast Cancer
by: Obaid, Omar Ibrahim, et al.
Published: (2018)

A comprehensive review of machine learning and deep learning techniques for intraclass variability breast cancer recognition
by: Khan, Kashif, et al.
Published: (2025)

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

Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
by: Mwenge , Mulenga
Published: (2022)

Deep Learning for Coral Classification
by: Mahmood, A., et al.
Published: (2017)

Investigation of deep learning model for vehicle classification
by: Ahsiah, Ismail, et al.
Published: (2026)

Human behaviors classification using deep learning technique
by: Shun, Cheang Chi, et al.
Published: (2022)

Study on Image Background Removal using Deep Learning
by: Fakruddin Ali, Ahmed, et al.
Published: (2024)

Anti-cancer activity of un-inoculated agarwood branch against MCF-7 breast cancer cells
by: Hashim, Yumi Zuhanis Has-Yun, et al.
Published: (2014)

Characterization of collagenase 3 (MMP-13) expressions in skin melanoma, breast cancer and cervical cancer in vitro
by: Mat Alewi, Nur Aizura, et al.
Published: (2013)

Deep learning detector for pests and plant disease recognition
by: Ileladewa, Oluwatimilehin Adekunle
Published: (2020)

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

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

An optimal near-infrared subcutaneous vein extraction using deep learning.
by: Chan, Xiao Jing
Published: (2022)

Stock indicator scanner customization tool using deep reinforcement learning
by: Cheong, Desmond YongHong
Published: (2022)

Cancer recurrence prediction using machine learning
by: Shoon Lei, Win, et al.
Published: (2014)

Mathematical modeling of the tumor cells population dynamics in breast cancer / Amin Oroji
by: Amin, Oroji
Published: (2018)

Anti-Proliferation Effects of Benzimidazole Derivatives on HCT-116 Colon Cancer and MCF-7 Breast Cancer Cell Lines
by: Al-Douh, Mohammed Hadi, et al.
Published: (2012)

HARIRAYA: a novel breast cancer pseudo-color feature for multimodal mammogram using deep learning
by: Ahmad Nazri, Azree Shahrel, et al.
Published: (2018)