Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

RA Dar, M Rasool, A Assad - Computers in biology and medicine, 2022 - Elsevier
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 …

Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities

S Baker, W Xiang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
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 …

A deep analysis of brain tumor detection from mr images using deep learning networks

MI Mahmud, M Mamun, A Abdelgawad - Algorithms, 2023 - mdpi.com
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 …

[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 …

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 …

[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 …

Breast cancer diagnosis based on IoT and deep transfer learning enabled by fog computing

A Pati, M Parhi, BK Pattanayak, D Singh, V Singh… - Diagnostics, 2023 - mdpi.com
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 …

A review of convolutional neural networks in computer vision

X Zhao, L Wang, Y Zhang, X Han, M Deveci… - Artificial Intelligence …, 2024 - Springer
In computer vision, a series of exemplary advances have been made in several areas
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 …

Classification of breast cancer using a manta-ray foraging optimized transfer learning framework

NA Baghdadi, A Malki, HM Balaha… - PeerJ Computer …, 2022 - peerj.com
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 …