Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review

QR Code

Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review

Breast cancer is diagnosed using histopathological imaging. This task is extremely time-consuming due to high image complexity and volume. However, it is important to facilitate the early detection of breast cancer for medical intervention. Deep learning (DL) has become popular in medical imaging so...

Full description

Bibliographic Details
Published in:	Diagnostics
Main Author:	Yusoff M.; Haryanto T.; Suhartanto H.; Mustafa W.A.; Zain J.M.; Kusmardi K.
Format:	Review
Language:	English
Published:	Multidisciplinary Digital Publishing Institute (MDPI) 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148956575&doi=10.3390%2fdiagnostics13040683&partnerID=40&md5=da7c6f5689f7215c7d68266f8179b414

Similar Items

A robust transfer learning approach for colorectal cancer identification based on histopathology images
by: Haryanto T.; Al Farel H.; Suhartanto H.; Kusmardi K.; Yusoff M.; Zain J.M.; Wibisono A.
Published: (2024)

SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images
by: Haryanto T.; Suhartanto H.; Murni A.; Kusmardi; Yusoff M.; Zain J.M.
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)

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)

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

Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks
by: Ali M.D.; Saleem A.; Elahi H.; Khan M.A.; Khan M.I.; Yaqoob M.M.; Farooq Khattak U.; Al-Rasheed A.
Published: (2023)

Multi-class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier
by: Abdullah M.N.; Yap B.W.; Sapri N.N.F.F.; Wan Yaacob W.F.
Published: (2023)

Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model
by: Nordin N.I.; Mustafa W.A.; Lola M.S.; Madi E.N.; Kamil A.A.; Nasution M.D.; K. Abdul Hamid A.A.; Zainuddin N.H.; Aruchunan E.; Abdullah M.T.
Published: (2023)

Classification of Breast Cancer Subtypes using Microarray RNA Expression Data
by: Suhiman M.S.; Deni S.M.; Japeri A.Z.U.-S.M.; Asmat A.; Wang L.
Published: (2025)

Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging
by: Mohammad N.; Muad A.M.; Ahmad R.; Yusof M.Y.P.M.
Published: (2022)

Enhancing leaf disease detection accuracy through synergistic integration of deep transfer learning and multimodal techniques
by: Senanu Ametefe D.; Seroja Sarnin S.; Mohd Ali D.; Caliskan A.; Tatar Caliskan I.; Adozuka Aliu A.; John D.
Published: (2024)

A radiomics study of textural features using magnetic resonance imaging for classification of breast cancer subtypes
by: Tang Z.Y.; Tan L.K.; Ng B.Y.; Rahmat K.; Ramli M.T.; Ninomiya K.; Wong J.H.D.
Published: (2020)

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)

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)

LexDeep: Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions during COVID-19
by: Mohamed A.; Zain Z.M.; Shaiba H.; Alturki N.; Aldehim G.; Sakri S.; Yatin S.F.M.; Zain J.M.
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)

Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles
by: Abdullah M.N.; Wah Y.B.
Published: (2024)

A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images
by: Thanoon M.A.; Zulkifley M.A.; Mohd Zainuri M.A.A.; Abdani S.R.
Published: (2023)

Improving the Accuracy of Gender Classification Based on Skin Tone Using Convolutional Neural Network: Transfer Learning (CNN-TL)
by: Mustapha M.F.; Mohamad N.M.; Ab Hamid S.H.; Abdul Aziz N.A.S.
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: 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)

Staging of breast cancer based on the area of the primary tumour
by: Embong R.; Sanuddin M.H.; Md Ali M.S.
Published: (2019)

SAR Evaluation Towards Breast Cancer in Hyperthermia Treatment
by: Naimullah B.S.S.; Lias K.; Buniyamin N.; Hassan M.M.; Basri H.M.; Ispawi D.I.
Published: (2021)

Automatic classification and segmentation of blast cells using deep transfer learning and active contours
by: Ametefe, et al.
Published: (2024)

Automatic classification and segmentation of blast cells using deep transfer learning and active contours
by: Ametefe D.S.; Sarnin S.S.; Ali D.M.; Ametefe G.D.; John D.; Aliu A.A.; Zoreno Z.
Published: (2024)

End-to-end deep learning on classification of neutral-to-ground voltage in secondary distribution systems
by: Mahadan M.E.; Abidin A.F.; Yusoh M.A.T.M.; Hairuddin M.A.; Ashar N.D.K.
Published: (2024)

A Review: Deep Learning Classification Performance of Normal and COVID-19 Chest X-ray Images
by: Markom M.A.; Taha S.M.; Adom A.H.; Sukor A.S.A.; Nasir A.S.A.; Yazid H.; Tan E.S.M.M.; Markom A.M.
Published: (2021)

Breast conserving surgery versus mastectomy: the effect of surgery on quality of life in breast cancer survivors in Malaysia
by: Dahlui M.; Azzani M.; Taib N.A.; Hoong S.M.; Jamaris S.; Islam T.
Published: (2023)

Breast conserving surgery versus mastectomy: the effect of surgery on quality of life in breast cancer survivors in Malaysia
by: Dahlui, et al.
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)

A Review on Text-based CAPTCHA Breaking Based on Deep Learning Methods
by: Xing W.; Mohd M.R.S.; Johari J.; Ruslan F.A.
Published: (2023)

Levels of specific serum N-glycans identify breast cancer patients with higher circulating tumor cell counts
by: Saldova R.; Reuben J.M.; Abd Hamid U.M.; Rudd P.M.; Cristofanilli M.
Published: (2011)

Hyperparameter tuning and pipeline optimization via grid search method and tree-based autoML in breast cancer prediction
by: Radzi S.F.M.; Karim M.K.A.; Saripan M.I.; Rahman M.A.A.; Isa I.N.C.; Ibahim M.J.
Published: (2021)

Increased RUNX1 mutations in breast cancer disease progression
by: Ariffin N.S.
Published: (2024)

Clinical Usefulness of Abbreviated MRI Protocol in Breast Cancer Detection
by: Hamid M.T.R.; Loi K.S.; Chan W.Y.; Mumin N.A.; Hamid S.A.; Rozalli F.I.; Rahmat K.
Published: (2024)

Increased RUNX1 mutations in breast cancer disease progression
by: Ariffin, et al.
Published: (2024)

Mitochondrial DNA mutations in Malaysian female breast cancer patients
by: Omasanggar R.; Yu C.Y.; Ang G.Y.; Emran N.A.; Kitan N.; Baghawi A.; Ahmad A.F.; Abdullah M.A.; Teh L.K.; Maniam S.
Published: (2020)

Clinical Usefulness of Abbreviated MRI Protocol in Breast Cancer Detection
by: Hamid, et al.
Published: (2024)

Automated System Form Concrete Damage Classification Identification Using Pretrained Deep Learning Model
by: Yazid M.D.M.; Senin S.F.
Published: (2022)