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 …
can help decrease breast cancer mortality rates. Computer-aided detection allows …
Vision Transformers in medical computer vision—A contemplative retrospection
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …
contained within images, have evolved as one of the most contemporary and dominant …
[HTML][HTML] Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …
resulted in algorithms being adopted for resolving a variety of problems. However, this …
[HTML][HTML] Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
Abstract Background and Objective: Many developed and non-developed countries
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …
[HTML][HTML] A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
[HTML][HTML] Connected-UNets: a deep learning architecture for breast mass segmentation
Breast cancer analysis implies that radiologists inspect mammograms to detect suspicious
breast lesions and identify mass tumors. Artificial intelligence techniques offer automatic …
breast lesions and identify mass tumors. Artificial intelligence techniques offer automatic …
A framework for breast cancer classification using multi-DCNNs
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 …
convolutional neural networks (DCNN) are currently the main tool used for image analysis …
Boosting breast cancer detection using convolutional neural network
SA Alanazi, MM Kamruzzaman… - Journal of …, 2021 - Wiley Online Library
Breast cancer forms in breast cells and is considered as a very common type of cancer in
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
[HTML][HTML] Intelligent hybrid deep learning model for breast cancer detection
X Wang, I Ahmad, D Javeed, SA Zaidi, FM Alotaibi… - Electronics, 2022 - mdpi.com
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …
common cancers in women. Women are also at risk from BC, the second most life …
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …