[HTML][HTML] Dataset of breast mammography images with masses

ML Huang, TY Lin - Data in brief, 2020 - Elsevier
Among many cancers, breast cancer is the second most common cause of death in women.
Early detection and early treatment reduce breast cancer mortality. Mammography plays an …

Considering breast density for the classification of benign and malignant mammograms

ML Huang, TY Lin - Biomedical Signal Processing and Control, 2021 - Elsevier
Background and objective Mammography plays a crucial role in breast cancer screening
because it can be used to diagnose a breast mass and breast calcification region early …

Breast cancer: Using deep transfer learning techniques alexnet convolutional neural network for breast tumor detection in mammography images

SS Boudouh, M Bouakkaz - 2022 7Th international conference …, 2022 - ieeexplore.ieee.org
Breast cancer is the most common form of cancer among women worldwide. Mammography
has become a valuable tool for detecting breast cancer. We were able to achieve the …

Multi‐scale attention‐based convolutional neural network for classification of breast masses in mammograms

J Niu, H Li, C Zhang, D Li - Medical physics, 2021 - Wiley Online Library
Purpose Breast cancer is the cancer with the highest incidence in women, and early
detection can effectively improve the survival rate of patients. Mammography is an important …

Breast mass detection and classification using deep convolutional neural networks for radiologist diagnosis assistance

T Mahmood, J Li, Y Pei, F Akhtar, Y Jia… - 2021 IEEE 45th …, 2021 - ieeexplore.ieee.org
Several developments in computational image processing methods assist the radiologist in
detecting abnormal breast tissue in recent years. Consequently, deep learning-based …

The classification of mammogram using convolutional neural network with specific image preprocessing for breast cancer detection

HC Lu, EW Loh, SC Huang - 2019 2nd international …, 2019 - ieeexplore.ieee.org
The incidence rate of breast cancer continued to rise in the last few decades. Current
screening strategy of breast cancer is based on classic X-ray imaging. The sensitivity and …

Deep learning-based mammogram classification using small dataset

AP ADEDIGBA, SA ADESHINAT… - 2019 15th international …, 2019 - ieeexplore.ieee.org
Breast Cancer is one of the most diagnosed cancer and the leading cause of death among
women worldwide, second only to lung cancer. Mammographic screening has been the …

Efficient breast cancer diagnosis from complex mammographic images using deep convolutional neural network

H Rahman, TF Naik Bukht, R Ahmad… - Computational …, 2023 - Wiley Online Library
Medical image analysis places a significant focus on breast cancer, which poses a
significant threat to women's health and contributes to many fatalities. An early and precise …

Internet of medical things embedding deep learning with data augmentation for mammogram density classification

T Sadad, AR Khan, A Hussain, U Tariq… - Microscopy …, 2021 - Wiley Online Library
Females are approximately half of the total population worldwide, and most of them are
victims of breast cancer (BC). Computer‐aided diagnosis (CAD) frameworks can help …

Mass segmentation and classification from film mammograms using cascaded deep transfer learning

VM Tiryaki - Biomedical Signal Processing and Control, 2023 - Elsevier
Breast cancer is the most common type of cancer among women worldwide. Early breast
cancers have a high chance of cure so early diagnosis is critical. Mammography screening …