Deep learning-based breast cancer detection and classification using histopathology images /

Deep learning-based breast cancer detection and classification using histopathology images /

Saved in:

Bibliographic Details
Main Author:	Murtaza, Ghulam (Author)
Format:	Thesis Book
Language:	English
Published:	2021.
Subjects:	Deep learning (Machine learning) Machine learning. Breast > Cancer > Diagnosis.
Online Access:	http://studentsrepo.um.edu.my/14492/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Identification of ECG anomalies through deep deterministic learning /
by: Iqbal, Uzair
Published: (2020)

Improving deep learning approach for FMRI data /
by: Nur Farahana Mohd Suhaimi
Published: (2021)

End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
by: Mfarej, Sumaya Dhari Awad
Published: (2021)

Image and video based emotion recognition using deep learning /
by: Arselan Ashraf
Published: (2021)

Automated scanned receipt processing with optical character recognition and machine learning /
by: Hor, Zhang Neng
Published: (2022)

Speech-based depression recognition for Bahasa Malaysia speakers using deep learning models /
by: Ezzi, Mugahed Al Ezzi Ahmed
Published: (2021)

Time series analysis and improved deep learning model for electricity price forecasting /
by: Iqbal, Md Rashed
Published: (2022)

A deep learning framework for the defection of source code plagiarism using Siamese network and embedding models /
by: Manahi, Mohammed S.M
Published: (2021)

Autism spectrum self-stimulatory behaviours classification using explainable temporal coherency deep network and SVM classifier /
by: Liang, Shuaibing
Published: (2022)

Progressive kernel extreme learning machine for food image analysis via optimal features /
by: Tahir, Ghalib Ahmed
Published: (2022)

Novice programmers' emotion and competency assessments using machine learning on physiological data /
by: Jannat, Fatima
Published: (2022)

Multi-label incremental kernel extreme learning machine for food recognition /
by: Chen, Sai
Published: (2022)

Application of data science techniques for prognostication of breast cancer : Malaysian patients as case study /
by: Mogana Darshini Ganggayah
Published: (2021)

Designing a compact deep learning model for image captioning /
by: Tan, Jia Huei
Published: (2022)

Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
by: Hazirah Halul

Semi-supervised learning for feature selection and classification of data /
by: Ganesh Krishnasamy
Published: (2019)

A study and enhancements of reinforcement learning methods /
by: Lee, Chin Yew
Published: (1998)

Predicting the outcomes of football matches using machine learning techniques /
by: Haruna, Usman
Published: (2015)

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

Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network /
by: Mahaseni, Behzad
Published: (2021)

Machine learning classification of macronutrient levels in oil palm trees with Landsat-8 imagery
by: Kok, Zhi Hong
Published: (2021)

Detection on ambiguous software requirements specification written in malay using machine learning
by: Zahrin, Mohd Firdaus
Published: (2017)

Practitioners' perception on the adoption of user involvement in SDLC / Muhammad Ikhwan Faiz Ahmad Ainuddin
by: Ahmad Ainuddin, Muhammad Ikhwan Faiz
Published: (2011)

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
by: Ali Al-Assadi, Hayder M. A.
Published: (2004)

Development of sensor-based machinery vibration assessment system for effective faults diagnostic in condition based maintenance using machine learning /
by: Syed Mohd Syafiq Syed Mahmud
Published: (2022)

Machine learning-based classification of Covid-19 using chest radiography images /
by: Chan, Yu T'ng
Published: (2021)

Automated detection of breast cancer in mammography images using Gabor filter and Bayesian classifier /
by: Yousefi, Bardia
Published: (2012)

Integrative approach of meta-analysis and machine learning in gene expression analysis of cervical cancer /
by: Tan, Mei Sze
Published: (2019)

Hybrid performance measures and mixed evaluation method for data classification problems
by: Hossin, Mohammad
Published: (2012)

An enhanced fully automatic ventricular heartbeat classification inspired by cyclic echo state networks /
by: Mastoi, Qurat-Ul-Ain
Published: (2022)

An enhancement of age and gender classification accuracy with hybrid handcrafted and deep features using hierarchical extreme learning machine /
by: Darugar, Mohammad Javidan
Published: (2020)

Object detection in 3D reconstructed environment using hierarchical growing neural gas /
by: Nooralishahi, Parham
Published: (2015)

Curved text detection and ground truth generation for natural scene images /
by: Ch'ng, Chee Kheng
Published: (2018)

Identification of microscopy cell images by using convolutional neural network application /
by: Norfatin Farisya Ajis
Published: (2020)

A voting-based hybrid machine learning approach for fraudulent financial data classification /
by: Kuldeep Kaur Ragbir Singh
Published: (2019)

Oil palm maturity classifier using spectrometer and machine learning
by: Goh, Jia Quan
Published: (2021)

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group