Transfer learning techniques for medical image analysis: A review

P Kora, CP Ooi, O Faust, U Raghavendra… - Biocybernetics and …, 2022 - Elsevier
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

EH Houssein, MM Emam, AA Ali… - Expert Systems with …, 2021 - Elsevier
Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

A comprehensive review on breast cancer detection, classification and segmentation using deep learning

B Abhisheka, SK Biswas, B Purkayastha - Archives of Computational …, 2023 - Springer
The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …

Cancer diagnosis using deep learning: a bibliographic review

K Munir, H Elahi, A Ayub, F Frezza, A Rizzi - Cancers, 2019 - mdpi.com
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …

Deep learning for image-based cancer detection and diagnosis− A survey

Z Hu, J Tang, Z Wang, K Zhang, L Zhang, Q Sun - Pattern Recognition, 2018 - Elsevier
In this paper, we aim to provide a survey on the applications of deep learning for cancer
detection and diagnosis and hope to provide an overview of the progress in this field. In the …

Breast cancer detection using deep convolutional neural networks and support vector machines

DA Ragab, M Sharkas, S Marshall, J Ren - PeerJ, 2019 - peerj.com
It is important to detect breast cancer as early as possible. In this manuscript, a new
methodology for classifying breast cancer using deep learning and some segmentation …

A framework for breast cancer classification using multi-DCNNs

DA Ragab, O Attallah, M Sharkas, J Ren… - Computers in Biology …, 2021 - Elsevier
Background Deep learning (DL) is the fastest-growing field of machine learning (ML). Deep
convolutional neural networks (DCNN) are currently the main tool used for image analysis …

Deep learning assisted efficient AdaBoost algorithm for breast cancer detection and early diagnosis

J Zheng, D Lin, Z Gao, S Wang, M He, J Fan - IEEE Access, 2020 - ieeexplore.ieee.org
Breast cancer is one of the most dangerous diseases and the second largest cause of
female cancer death. Breast cancer starts when malignant, cancerous lumps start to grow …

Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review

NIR Yassin, S Omran, EMF El Houby… - Computer methods and …, 2018 - Elsevier
Background and objective The high incidence of breast cancer in women has increased
significantly in the recent years. Physician experience of diagnosing and detecting breast …

YOLO based breast masses detection and classification in full-field digital mammograms

GH Aly, M Marey, SA El-Sayed, MF Tolba - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective With the recent development in deep learning since
2012, the use of Convolutional Neural Networks (CNNs) in bioinformatics, especially …