Impact of imaging biomarkers and AI on breast cancer management: A brief review
Simple Summary Artificial intelligence (AI) has seamlessly integrated into the medical field,
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …
An optimized framework for breast cancer classification using machine learning
Breast cancer, if diagnosed and treated early, has a better chance of surviving. Many studies
have shown that a larger number of ultrasound images are generated every day, and the …
have shown that a larger number of ultrasound images are generated every day, and the …
A cost-effective computer-vision based breast cancer diagnosis
In the last decade, there have been extensive reports of world health organization (WHO) on
breast cancer. About 2.1 million women are affected every year and it is the second most …
breast cancer. About 2.1 million women are affected every year and it is the second most …
Breast tumor segmentation using U-NET
Cancer stands in second leading cause of death worldwide, an average of one in six deaths
is due to cancer. The occurrence of breast cancer is more in women compared to men …
is due to cancer. The occurrence of breast cancer is more in women compared to men …
Systematic literature review on application of artificial intelligence in cancer detection using image processing
G Chandra, KD Irisha, VI Vica, PA Suri… - … and Data Sciences …, 2022 - ieeexplore.ieee.org
Having a low survival rate, cancer has become one of the deadliest diseases with
complicated prognosis. In this matter, Artificial Intelligence (AI) is frequently used to aid …
complicated prognosis. In this matter, Artificial Intelligence (AI) is frequently used to aid …
Early breast cancer diagnostics based on hierarchical machine learning classification for mammography images
Breast cancer constitutes a significant threat to women's health and is considered the
second leading cause of their death. Breast cancer is a result of abnormal behavior in the …
second leading cause of their death. Breast cancer is a result of abnormal behavior in the …
Identifying and characterizing the propagation scale of COVID-19 situational information on Twitter: A hybrid text analytic approach
During the recent pandemic of COVID-19, an increasing amount of information has been
propagated on social media. This situational information is valuable for public authorities …
propagated on social media. This situational information is valuable for public authorities …
On-device training for breast ultrasound image classification
Most on-device AI pre-trained a neural network model in cloud-based server then deployed
to edge device for inference. On-device training not only can build personalized model, but …
to edge device for inference. On-device training not only can build personalized model, but …
Low power CNN hardware FPGA implementation
A convolution Neural Networks (CNN) goes under the wide umbrella of Deep Neural
Networks (DNN) whose applications are widely used. For example, the later are used in …
Networks (DNN) whose applications are widely used. For example, the later are used in …
E-CONDOR: Efficient Contour-Based Detection Of Random Spatial Signals From UAV Observations Using Dual Stochastic Gradient
M Zahra, H Tajiani, H Alasti - arxiv preprint arxiv:2411.17449, 2024 - arxiv.org
This paper presents a novel efficient method for spatial monitoring of the distribution of
correlated field signals, such as temperature, humidity, etc. using unmanned aerial vehicles …
correlated field signals, such as temperature, humidity, etc. using unmanned aerial vehicles …