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 …

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

M Abdar, M Samami, SD Mahmoodabad… - Computers in biology …, 2021 - Elsevier
Accurate automated medical image recognition, including classification and segmentation,
is one of the most challenging tasks in medical image analysis. Recently, deep learning …

A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks

A Lagree, M Mohebpour, N Meti, K Saednia, FI Lu… - Scientific Reports, 2021 - nature.com
Breast cancer is currently the second most common cause of cancer-related death in
women. Presently, the clinical benchmark in cancer diagnosis is tissue biopsy examination …

Revolutionizing pathology with artificial intelligence: Innovations in immunohistochemistry

DG Poalelungi, AI Neagu, A Fulga, M Neagu… - Journal of Personalized …, 2024 - mdpi.com
Artificial intelligence (AI) is a reality of our times, and it has been successfully implemented
in all fields, including medicine. As a relatively new domain, all efforts are directed towards …

Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence

M Ivanova, C Pescia, D Trapani, K Venetis… - Cancers, 2024 - mdpi.com
Simple Summary Risk assessment in early breast cancer is critical for clinical decisions, but
defining risk categories poses a significant challenge. The integration of conventional …

Automated molecular subty** of breast carcinoma using deep learning techniques

S Niyas, R Bygari, R Naik, B Viswanath… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Objective: Molecular subty** is an important procedure for prognosis and targeted therapy
of breast carcinoma, the most common type of malignancy affecting women …

Progress on deep learning in digital pathology of breast cancer: a narrative review

J Zhu, M Liu, X Li - Gland surgery, 2022 - pmc.ncbi.nlm.nih.gov
Background and Objective Pathology is the gold standard criteria for breast cancer
diagnosis and has important guiding value in formulating the clinical treatment plan and …

Uncertainty-aware skin cancer detection: The element of doubt

P Tabarisaadi, A Khosravi, S Nahavandi - Computers in Biology and …, 2022 - Elsevier
Artificial intelligence (AI)-based medical diagnosis has received huge attention due to its
potential to improve and accelerate the decision-making process at the patient level in a …

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 …