Deep learning-based breast region extraction of mammographic images combining pre-processing methods and semantic segmentation supported by Deeplab v3+
K Zhou, W Li, D Zhao - Technology and Health Care, 2022 - content.iospress.com
BACKGROUND: Breast cancer has long been one of the major global life-threatening
illnesses among women. Surgery and adjuvant therapy, coupled with early detection, could …
illnesses among women. Surgery and adjuvant therapy, coupled with early detection, could …
Breast Cancer Mass Classification Using Machine Learning, Binary-Coded Genetic Algorithms and an Ensemble of Deep Transfer Learning
VM Tiryaki, N Tutkun - The Computer Journal, 2024 - academic.oup.com
The diagnosis of breast cancer (BC) as early as possible is crucial for increasing the survival
rate. Mammography enables finding the breast tissue changes years before they could …
rate. Mammography enables finding the breast tissue changes years before they could …
Deep transfer learning to classify mass and calcification pathologies from screen film mammograms
VM Tiryaki - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2023 - dergipark.org.tr
The number of breast cancer diagnosis is the biggest among all cancers, but it can be
treated if diagnosed early. Mammography is commonly used for detecting abnormalities and …
treated if diagnosed early. Mammography is commonly used for detecting abnormalities and …
Automatic classification and detection of abnormalities in mammograms using deep learning
A Islam, Z Suhail - 16th International Workshop on Breast …, 2022 - spiedigitallibrary.org
Breast cancer is one of the deadliest diseases. It is affecting majority of women world wide.
Computer Aided Diagnosis (CAD) systems can be used to help radiologists in order to …
Computer Aided Diagnosis (CAD) systems can be used to help radiologists in order to …
Localization, segmentation, and classification of mammographic abnormalities using deep learning
A Islam, Z Suhail, R Zwiggelaar - 17th International Workshop …, 2024 - spiedigitallibrary.org
Breast cancer is a disease caused by abnormal growth of cells in the breast. We have
investigated a deep learning pipeline, which provides classification (eg normal/abnormal) …
investigated a deep learning pipeline, which provides classification (eg normal/abnormal) …
Deep Learning vs. Super Pixel Classification for Breast Masses Segmentation
MEA Bechar, N Settouti… - Deep Learning for …, 2021 - taylorfrancis.com
Computer-assisted diagnosis of breast mass detection and segmentation is becoming more
and more of a necessity given the exponential growth of mammograms performed each …
and more of a necessity given the exponential growth of mammograms performed each …
An AI-based method to retrieve hematoxylin and eosin breast histology images using mammograms
A Hamidinekoo, E Denton, K Honnor… - … Workshop on Breast …, 2020 - spiedigitallibrary.org
Early diagnosis of breast cancer can increase survival rate. The assessment process for
breast screening follows a triple assessment model: appropriate imaging, clinical …
breast screening follows a triple assessment model: appropriate imaging, clinical …
[PDF][PDF] International Journal of Emerging Trends in Engineering Research
ADM Africa - International Journal, 2020 - academia.edu
Over time, scientists and engineers have developed technology that has improved everyday
living. For every invention, they have found to reinvent it and create a better version of it. An …
living. For every invention, they have found to reinvent it and create a better version of it. An …