Deep convolutional neural networks for mammography: advances, challenges and applications

D Abdelhafiz, C Yang, R Ammar, S Nabavi - BMC bioinformatics, 2019 - Springer
Background The limitations of traditional computer-aided detection (CAD) systems for
mammography, the extreme importance of early detection of breast cancer and the high …

A state-of-the-art survey on deep learning methods for detection of architectural distortion from digital mammography

ON Oyelade, AES Ezugwu - IEEE access, 2020 - ieeexplore.ieee.org
Breast cancer is a type of cancer that has risen to be the second cause of death among
women. Classification of breast tissues into normal, benign, or malignant depends on the …

A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities

N Thakur, P Kumar, A Kumar - Multimedia Tools and Applications, 2024 - Springer
This paper examines and assesses state-of-the-art proposed machine and deep learning
techniques for breast cancer identification and classification based on breast screening …

Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis

H Mahersia, H Boulehmi, K Hamrouni - Computer methods and programs …, 2016 - Elsevier
Female breast cancer is the second most common cancer in the world. Several efforts in
artificial intelligence have been made to help improving the diagnostic accuracy at earlier …

Decrease in false assumption for detection using digital mammography

CL Chowdhary, GVK Sai, DP Acharjya - … on CIDM, 5-6 December 2015, 2016 - Springer
Our research work elaborated in the design and construction of a method that bring
sustenance for a reduction in false assumptions during the detection of breast cancer. Our …

[PDF][PDF] Comparative study of mammogram enhancement techniques for early detection of breast cancer

P Ittannavar, D Havaldar - International Journal of Technology …, 2016 - scholar.archive.org
This paper presents an analysis and identification of image enhancement techniques
suitable for mammogram images. Enhancement techniques are used for mammogram …

Review of medical image classification techniques

H Kotadiya, D Patel - Third International Congress on Information and …, 2019 - Springer
With the advancement in the technology, the data volume is increasing day by day. Besides,
it creates more complexity if the database is the image database, which requires more …

[PDF][PDF] A technique to extract statistical parameters of digital mammogram to detect breast cancer

P Palkar, P Agrawal - … Journal of Advanced Research in Science …, 2016 - researchgate.net
At present, mammography is one of the available method for early detection of suspicious
masses, related to cancer. The challenge lies in accurate detection of breast cancer at its …

Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques

A Patra, P Biswas, SK Behera, NK Barpanda… - Journal of Intelligent …, 2024 - degruyter.com
In the realm of image-based breast cancer detection and severity assessment, this study
delves into the revolutionary potential of sophisticated artificial intelligence (AI) techniques …

Detection of Breast Cancer in Mammography Using Pretrained Convolutional Neural Networks with Fine-Tuning

C Muñoz-Chavez, H Sánchez-Cruz… - … Methodologies for Big …, 2023 - Springer
Breast cancer is a major health concern for women, especially in Latin America where the
incidence and mortality rates are high. Mammography is an essential diagnostic tool in …