[HTML][HTML] A systematic review of automated segmentation methods and public datasets for the lung and its lobes and findings on computed tomography images
Objectives: Automated computational segmentation of the lung and its lobes and findings in
X-Ray based computed tomography (CT) images is a challenging problem with important …
X-Ray based computed tomography (CT) images is a challenging problem with important …
[HTML][HTML] An explainable and efficient deep learning framework for video anomaly detection
Deep learning-based video anomaly detection methods have drawn significant attention in
the past few years due to their superior performance. However, almost all the leading …
the past few years due to their superior performance. However, almost all the leading …
[HTML][HTML] Application of machine learning and deep learning techniques for Covid-19 screening using radiological imaging: a comprehensive review
Lung, being one of the most important organs in human body, is often affected by various
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
Evaluation of machine learning techniques to select marine oil spill response methods under small-sized dataset conditions
Oil spill incidents can significantly impact marine ecosystems in Arctic/subarctic areas. Low
biodegradation rate, harsh environments, remoteness, and lack of sufficient response …
biodegradation rate, harsh environments, remoteness, and lack of sufficient response …
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT
Supervised deep learning has become a standard approach to solving medical image
segmentation tasks. However, serious difficulties in attaining pixel-level annotations for …
segmentation tasks. However, serious difficulties in attaining pixel-level annotations for …
Detection of sperm cells by single-stage and two-stage deep object detectors
Today, infertility is a common health concern that affects approximately 15%–20% of the
world population. The evaluation of male patients with infertility includes diverse …
world population. The evaluation of male patients with infertility includes diverse …
Selection and optimization of marine oil spill response operations using artificial intelligence and soft computing techniques
S Mohammadiun - 2023 - open.library.ubc.ca
Marine oil spill incidents are detrimental to both natural environment and human health.
Water quality, marine ecosystems, and shoreline conditions can be deteriorated by the spilt …
Water quality, marine ecosystems, and shoreline conditions can be deteriorated by the spilt …
Deep Learning based Abnormal Event Detection in Pedestrian Pathways
V Ganesan - … on Intelligent and Innovative Technologies in …, 2024 - ieeexplore.ieee.org
A video surveillance system is capable of detecting any kind of motions that are unusual and
hence proves to be a major contributor of the surveillance sector. The unusual or strange …
hence proves to be a major contributor of the surveillance sector. The unusual or strange …
Intelligent Federated Cyber-Physical Systems Experimental Testbeds: Design, Analysis, and Evaluation
C Wu - 2022 - search.proquest.com
The advancement of computer information technology, Internet services, and Internet of
Things (IoT) have made their deployments touch all aspects of our life. In fact, almost all …
Things (IoT) have made their deployments touch all aspects of our life. In fact, almost all …
Instance Segmentation in Mobile Computing Environments for Identification of Specific Characteristics in Endangered Species
MCO Ribeiro, RS Monteiro… - 2021 International …, 2021 - ieeexplore.ieee.org
The segmentation of instances is a key topic in image processing and computer vision.
There are numerous applications such as medical image analysis, video surveillance …
There are numerous applications such as medical image analysis, video surveillance …