Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
A deep analysis of brain tumor detection from mr images using deep learning networks
Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
[HTML][HTML] Artificial intelligence for visually impaired
J Wang, S Wang, Y Zhang - Displays, 2023 - Elsevier
The eyes are an essential tool for human observation and perception of the world, helping
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
Smart detection of tomato leaf diseases using transfer learning-based convolutional neural networks
A Saeed, AA Abdel-Aziz, A Mossad, MA Abdelhamid… - Agriculture, 2023 - mdpi.com
Plant diseases affect the availability and safety of plants for human and animal consumption
and threaten food safety, thus reducing food availability and access, as well as reducing …
and threaten food safety, thus reducing food availability and access, as well as reducing …
[图书][B] Deep learning: A beginners' guide
D Meedeniya - 2023 - books.google.com
This book focuses on deep learning (DL), which is an important aspect of data science, that
includes predictive modeling. DL applications are widely used in domains such as finance …
includes predictive modeling. DL applications are widely used in domains such as finance …
Breast cancer diagnosis based on IoT and deep transfer learning enabled by fog computing
Across all countries, both developing and developed, women face the greatest risk of breast
cancer. Patients who have their breast cancer diagnosed and staged early have a better …
cancer. Patients who have their breast cancer diagnosed and staged early have a better …
A review of convolutional neural networks in computer vision
In computer vision, a series of exemplary advances have been made in several areas
involving image classification, semantic segmentation, object detection, and image super …
involving image classification, semantic segmentation, object detection, and image super …
Comparison between ResNet 16 and inception V4 network for COVID-19 prediction
PJ Rachana, A Kodipalli, T Rao - Emerging Research in Computing …, 2022 - Springer
COVID-19 claimed 5 million lives worldwide so far, and the count is continuing. It also
affected socio-economic life of almost everybody in the world. Due to COVID-19, mortality …
affected socio-economic life of almost everybody in the world. Due to COVID-19, mortality …
Classification of breast cancer using a manta-ray foraging optimized transfer learning framework
Due to its high prevalence and wide dissemination, breast cancer is a particularly
dangerous disease. Breast cancer survival chances can be improved by early detection and …
dangerous disease. Breast cancer survival chances can be improved by early detection and …