Covid-caps: A capsule network-based framework for identification of covid-19 cases from x-ray images
P Afshar, S Heidarian, F Naderkhani… - Pattern Recognition …, 2020 - Elsevier
Abstract Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly changed the
world as we know it at the end of the 2nd decade of the 21st century. COVID-19 is extremely …
world as we know it at the end of the 2nd decade of the 21st century. COVID-19 is extremely …
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review
During the last decade, computer vision and machine learning have revolutionized the world
in every way possible. Deep Learning is a sub field of machine learning that has shown …
in every way possible. Deep Learning is a sub field of machine learning that has shown …
Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …
recognition is a challenging problem for radiologists in health monitoring and automated …
A review of explainable deep learning cancer detection models in medical imaging
Deep learning has demonstrated remarkable accuracy analyzing images for cancer
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
A deep transfer learning based architecture for brain tumor classification using MR images
B Badjie, ED Ülker - Information Technology and Control, 2022 - itc.ktu.lt
Deep Learning (DL) is becoming more popular in the healthcare sectors due to the
exponential growth of data availability and its excellent performance in diagnosing various …
exponential growth of data availability and its excellent performance in diagnosing various …
Covid-fact: A fully-automated capsule network-based framework for identification of covid-19 cases from chest ct scans
The newly discovered Coronavirus Disease 2019 (COVID-19) has been globally spreading
and causing hundreds of thousands of deaths around the world as of its first emergence in …
and causing hundreds of thousands of deaths around the world as of its first emergence in …
A comprehensive review on smart health care: applications, paradigms, and challenges with case studies
S Saba Raoof, MAS Durai - Contrast Media & Molecular …, 2022 - Wiley Online Library
Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …
figuring out their way over the modern contemporary world through integrating various …
Synergizing medical imaging and radiotherapy with deep learning
This article reviews deep learning methods for medical imaging (focusing on image
reconstruction, segmentation, registration, and radiomics) and radiotherapy (ranging from …
reconstruction, segmentation, registration, and radiomics) and radiotherapy (ranging from …
MalCaps: a capsule network based model for the malware classification
X Zhang, K Wu, Z Chen, C Zhang - Processes, 2021 - mdpi.com
The research on malware detection enabled by deep learning has become a hot issue in the
field of network security. The existing malware detection methods based on deep learning …
field of network security. The existing malware detection methods based on deep learning …
Dilated capsule network for brain tumor type classification via mri segmented tumor region
Brain tumor recently is considered among the deadliest cancers according to research
statistics and have several categories, based on the different characteristics of the tumor …
statistics and have several categories, based on the different characteristics of the tumor …