Breast cancer detection using artificial intelligence techniques: A systematic literature review
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 …
been developed for it. Breast cancer is one of the most common cancer types. According to …
Applications of artificial intelligence and machine learning in smart cities
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …
maintain a green environment, improve the economic and living standards of their citizens …
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization
A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model
A brain tumor is a mass that grows unevenly in the brain and directly affects human life. This
mass occurs spontaneously because of the tissues surrounding the brain or the skull …
mass occurs spontaneously because of the tissues surrounding the brain or the skull …
Deep learning based methods for breast cancer diagnosis: a systematic review and future direction
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 …
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
Breast cancer is one of the most commonly diagnosed cancer types in the woman and
automatically classifying breast cancer histopathological images is an important task in …
automatically classifying breast cancer histopathological images is an important task in …
Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks
Melanocytes are skin cells that give color to the skin and form melanin color pigments. The
unbalanced division and proliferation of these cells result in skin cancer. The early diagnosis …
unbalanced division and proliferation of these cells result in skin cancer. The early diagnosis …
Transfer learning to detect COVID‐19 automatically from X‐Ray images using convolutional neural networks
MM Taresh, N Zhu, TAA Ali… - … Journal of Biomedical …, 2021 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) is a contagious disease that has caused
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
Recurrent neural network and reinforcement learning model for COVID-19 prediction
Detection and prediction of the novel Coronavirus present new challenges for the medical
research community due to its widespread across the globe. Methods driven by Artificial …
research community due to its widespread across the globe. Methods driven by Artificial …