Breast cancer detection using artificial intelligence techniques: A systematic literature review

AB Nassif, MA Talib, Q Nasir, Y Afadar… - Artificial intelligence in …, 2022 - Elsevier
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has
been developed for it. Breast cancer is one of the most common cancer types. According to …

Deep learning based methods for breast cancer diagnosis: a systematic review and future direction

M Nasser, UK Yusof - Diagnostics, 2023 - mdpi.com
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

[PDF][PDF] Breast cancer detection based on thermographic images using machine learning and deep learning algorithms

VR Allugunti - International Journal of Engineering in Computer …, 2022 - researchgate.net
According to the latest data, breast carcinoma is the most prevalent kind of cancer in the
world, and it is responsible for the deaths of almost 900 thousand people each year. If the …

Artificial intelligence based medical decision support system for early and accurate breast cancer prediction

LK Singh, M Khanna, R Singh - Advances in engineering software, 2023 - Elsevier
Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …

Malignant and benign breast cancer classification using machine learning algorithms

S Ara, A Das, A Dey - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
At the moment, the most prevalent form of cancer diagnosed in women across the globe is
breast cancer. It develops in the breast tissue and is one of the most frequent causes of …

Breast cancer diagnosis using the fast learning network algorithm

MAA Albadr, M Ayob, S Tiun, FT Al-Dhief… - Frontiers in …, 2023 - frontiersin.org
The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …

[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review

HE Saroğlu, I Shayea, B Saoud, MH Azmi… - Alexandria Engineering …, 2024 - Elsevier
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 …

Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence

S Makhlouf, N Wahab, M Toss, A Ibrahim… - British Journal of …, 2023 - nature.com
Abstract Background Tumour infiltrating lymphocytes (TILs) are a prognostic parameter in
triple-negative and human epidermal growth factor receptor 2 (HER2)-positive breast cancer …

Breast cancer detection and prevention using machine learning

A Khalid, A Mehmood, A Alabrah, BF Alkhamees… - Diagnostics, 2023 - mdpi.com
Breast cancer is a common cause of female mortality in developing countries. Early
detection and treatment are crucial for successful outcomes. Breast cancer develops from …

Machine learning classifiers on breast cancer recurrences

VPC Magboo, MSA Magboo - Procedia Computer Science, 2021 - Elsevier
Breast cancer remains to be a leading cause of cancer-related deaths among women.
Mortality is mainly attributed to metastasis and recurrence. Hence, early detection of breast …