Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Advances in artificial intelligence technologies have made it possible to obtain more
accurate and reliable results using digital images. Due to the advances in digital …
accurate and reliable results using digital images. Due to the advances in digital …
Breast tumor classification using an ensemble machine learning method
Breast cancer is the most common cause of death for women worldwide. Thus, the ability of
artificial intelligence systems to detect possible breast cancer is very important. In this paper …
artificial intelligence systems to detect possible breast cancer is very important. In this paper …
Optimized stacking ensemble learning model for breast cancer detection and classification using machine learning
Breast cancer is the most frequently encountered medical hazard for women in their forties,
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
Fuzzy neural network expert system with an improved Gini index random forest-based feature importance measure algorithm for early diagnosis of breast cancer in …
EA Algehyne, ML Jibril, NA Algehainy… - Big Data and Cognitive …, 2022 - mdpi.com
Breast cancer is one of the common malignancies among females in Saudi Arabia and has
also been ranked as the one most prevalent and the number two killer disease in the …
also been ranked as the one most prevalent and the number two killer disease in the …
An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis
H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …
the thinking patterns of the human brain with specifications such as real-time learning, self …
An extensive review on emerging advancements in thermography and convolutional neural networks for breast cancer detection
J Iyadurai, M Chandrasekharan, S Muthusamy… - Wireless Personal …, 2024 - Springer
Breast cancer remains a significant health concern, necessitating early and accurate
detection methods to reduce mortality rates. This review examines the use of thermography …
detection methods to reduce mortality rates. This review examines the use of thermography …
Machine learning techniques and breast cancer prediction: A review
G Kaur, R Gupta, N Hooda, NR Gupta - Wireless Personal …, 2022 - Springer
Cancer is one of the most prevalent diseases in humans, both in terms of incidence and
fatality. Cancer care is a growing area of focus for developing interventions to improve the …
fatality. Cancer care is a growing area of focus for developing interventions to improve the …
Semantic segmentation of seagrass habitat from drone imagery based on deep learning: A comparative study
E Jeon, S Kim, S Park, J Kwak, I Choi - Ecological Informatics, 2021 - Elsevier
In this study, the utilization of drone images and deep learning to monitor the seagrass
habitat, which is important in the marine ecosystem, is evaluated. Two experiments were …
habitat, which is important in the marine ecosystem, is evaluated. Two experiments were …
An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis
S Talatian Azad, G Ahmadi… - Journal of Experimental & …, 2022 - Taylor & Francis
Nowadays, breast cancer is one of the leading causes of women's death in the world. If
breast cancer is detected at the initial stages, it can ensure long-term survival. Numerous …
breast cancer is detected at the initial stages, it can ensure long-term survival. Numerous …
Intrusion detection in IoT-based smart grid using hybrid decision tree
SM Taghavinejad, M Taghavinejad… - … Conference on Web …, 2020 - ieeexplore.ieee.org
Considering the growing trend of electric power consumption, resource constraints and the
exhaustion of existing grid equipment, the issue of restructuring the electricity industry has …
exhaustion of existing grid equipment, the issue of restructuring the electricity industry has …