Breast cancer classification using deep learned features boosted with handcrafted features
Breast cancer is one of the leading causes of death among women across the globe. It is
difficult to treat if detected at advanced stages. However, early detection can significantly …
difficult to treat if detected at advanced stages. However, early detection can significantly …
Identification of breast lesion through integrated study of gorilla troops optimization and rotation-based learning from MRI images
Breast cancer has emerged as the most life-threatening disease among women around the
world. Early detection and treatment of breast cancer are thought to reduce the need for …
world. Early detection and treatment of breast cancer are thought to reduce the need for …
Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification
SA Taghanaki, J Kawahara, B Miles… - Computer methods and …, 2017 - Elsevier
Background and objective Feature reduction is an essential stage in computer aided breast
cancer diagnosis systems. Multilayer neural networks can be trained to extract relevant …
cancer diagnosis systems. Multilayer neural networks can be trained to extract relevant …
Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment
B Zheng, JH Sumkin, ML Zuley… - The British journal of …, 2012 - academic.oup.com
Objectives: To investigate the feasibility of converting a computer–aided detection (CAD)
scheme for digitised screen–film mammograms to full-field digital mammograms (FFDMs) …
scheme for digitised screen–film mammograms to full-field digital mammograms (FFDMs) …
Deep learning based breast image classification study for cancer detection
C Sarada, V Dattatreya… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Many human beings are losing life yearly due to Breast Cancer. Breast Cancer detection is a
challenging task where skilled radiologists are essential to detect it. The manual …
challenging task where skilled radiologists are essential to detect it. The manual …
Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software
HJ Kim, WJ Choi, HY Gwon, SJ Jang, EY Chae… - European …, 2024 - Springer
Objectives To evaluate the improvement of mammography interpretation for novice and
experienced radiologists assisted by two commercial AI software. Methods We compared …
experienced radiologists assisted by two commercial AI software. Methods We compared …
Diagnostic performance of artificial intelligence-based computer-aided diagnosis for breast microcalcification on mammography
The present study evaluated the diagnostic performance of artificial intelligence-based
computer-aided diagnosis (AI-CAD) compared to that of dedicated breast radiologists in …
computer-aided diagnosis (AI-CAD) compared to that of dedicated breast radiologists in …
A modified undecimated discrete wavelet transform based approach to mammographic image denoising
E Matsuyama, DY Tsai, Y Lee, M Tsurumaki… - Journal of digital …, 2013 - Springer
In this work, the authors present an effective denoising method to attempt reducing the noise
in mammographic images. The method is based on using hierarchical correlation of the …
in mammographic images. The method is based on using hierarchical correlation of the …
Application of Artificial Intelligence in the Mammographic Detection of Breast Cancer in Saudi Arabian Women
R Aljondi, SS Alghamdi, A Tajaldeen, S Alassiri… - Applied Sciences, 2023 - mdpi.com
Background: Breast cancer has a 14.8% incidence rate and an 8.5% fatality rate in Saudi
Arabia. Mammography is useful for the early detection of breast cancer. Researchers have …
Arabia. Mammography is useful for the early detection of breast cancer. Researchers have …
PACS administrators' and radiologists' perspective on the importance of features for PACS selection
Picture archiving and communication systems (PACS) play a critical role in radiology. This
paper presents the criteria important to PACS administrators for selecting a PACS. A set of …
paper presents the criteria important to PACS administrators for selecting a PACS. A set of …