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 …
Breast cancer diagnosis based on k-nearest neighbors: a review
SF Khorshid, AM Abdulazeez - PalArch's Journal of Archaeology …, 2021 - archives.palarch.nl
The techniques of machine learning are commonly used in classifying breast lesions, as
they can improve the mammogram accuracy in detecting malignant masses. One of the top …
they can improve the mammogram accuracy in detecting malignant masses. One of the top …
An extended approach to the diagnosis of tumour location in breast cancer using deep learning
S Jafarzadeh Ghoushchi, R Ranjbarzadeh… - Journal of Ambient …, 2023 - Springer
Breast cancer is one of the most common and deadly cancers in women. However, early
detection increases the likelihood of survival by 100%. Radiologists use mammograms to …
detection increases the likelihood of survival by 100%. Radiologists use mammograms to …
Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO)
Breast cancer (BC) is a primary reason for death among the female population around the
world. Early identification can aid in decreasing the mortality rates associated with this …
world. Early identification can aid in decreasing the mortality rates associated with this …
[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review
Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
[PDF][PDF] Breast cancer detection using machine learning approaches: a comparative study.
As the cause of the breast cancer disease has not yet clearly identified and a method to
prevent its occurrence has not yet been developed, its early detection has a significant role …
prevent its occurrence has not yet been developed, its early detection has a significant role …
Insight into breast cancer detection: new hybrid feature selection method
WM Shaban - Neural Computing and Applications, 2023 - Springer
Breast cancer, which is also the leading cause of death among women, is one of the most
common forms of the disease that affects females all over the world. The discovery of breast …
common forms of the disease that affects females all over the world. The discovery of breast …
Multi-input deep learning approach for breast cancer screening using thermal infrared imaging and clinical data
Breast cancer is one of the most prevalent causes of death among women across the globe.
Early detection is the best strategy for reducing the mortality rate. Currently, mammography …
Early detection is the best strategy for reducing the mortality rate. Currently, mammography …
Breast cancer diagnosis using stochastic self-organizing map and enlarge C4. 5
Abstract Timely and accurate Breast Cancer (BC) prediction allows healthcare providers and
doctors to take suitable decisions to treat the patients. Thus, this study employed a strategy …
doctors to take suitable decisions to treat the patients. Thus, this study employed a strategy …
A diagnostic model of breast cancer based on digital mammogram images using machine learning techniques
FAK Al-Fahaidy, B Al-Fuhaidi… - … Intelligence and Soft …, 2022 - Wiley Online Library
Breast cancer disease is one of the most recorded cancers that lead to morbidity and maybe
death among women around the world. Recent research statistics have exposed that one …
death among women around the world. Recent research statistics have exposed that one …