Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Alzheimer's patients detection using support vector machine (SVM) with quantitative analysis
Alzheimer is an illness that influences the mind and it also causes to degenerate the nerve
cells and specifically engaged cells with memory and scholarly capacities. During the …
cells and specifically engaged cells with memory and scholarly capacities. During the …
Deep learning applied to intracranial hemorrhage detection
Intracranial hemorrhage is a serious medical problem that requires rapid and often intensive
medical care. Identifying the location and type of any hemorrhage present is a critical step in …
medical care. Identifying the location and type of any hemorrhage present is a critical step in …
An attention-based resnet architecture for acute hemorrhage detection and classification: Toward a health 4.0 digital twin study
Due to the advancement of digital twin (DT) technology, Health 4.0 applications have
become reality and starting to take roots. In this article, we focus on intracranial hemorrhage …
become reality and starting to take roots. In this article, we focus on intracranial hemorrhage …
Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review
The management of intracerebral hemorrhage (ICH) requires prompt diagnostic assessment
and recognition. Accurate localization and categorization of ICH-type is crucial. There are …
and recognition. Accurate localization and categorization of ICH-type is crucial. There are …
[HTML][HTML] Diagnostic accuracy and performance analysis of a scanner-integrated artificial intelligence model for the detection of intracranial hemorrhages in a …
J Kiefer, M Kopp, T Ruettinger, R Heiss, W Wuest… - Bioengineering, 2023 - mdpi.com
Intracranial hemorrhages require an immediate diagnosis to optimize patient management
and outcomes, and CT is the modality of choice in the emergency setting. We aimed to …
and outcomes, and CT is the modality of choice in the emergency setting. We aimed to …
Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans
T D'Angelo, GM Bucolo, T Kamareddine, I Yel… - La radiologia …, 2024 - Springer
Purpose To evaluate a deep learning-based pipeline using a Dense-UNet architecture for
the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed …
the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed …
Intracranial Haemorrhage Detection Based on Deep Learning Using CT Images
PR Mishra, I AK - Proceedings of the 2023 Fifteenth International …, 2023 - dl.acm.org
Intracranial haemorrhage (ICH) is a medical condition that can have life-threatening
consequences if it is not promptly diagnosed and treated. Diagnostic tools for medical …
consequences if it is not promptly diagnosed and treated. Diagnostic tools for medical …
Intracranial hemorrhage detection: how much can windowing, transfer learning and data augmentation affect a deep learning model's performance?
P Lacerda, RF de Oliveira Neto - Revista Brasileira de Computação …, 2023 - seer.upf.br
A aplicação de Redes Neurais Profundas para detecção de hemorragia intracraniana a
partir de imagens de tomografia computadorizada tem sido amplamente utilizada na …
partir de imagens de tomografia computadorizada tem sido amplamente utilizada na …
The Computational Approach for Brain Hemorrhage Classification using Deep Transfer Learning
A Sharma, P Dutta - Available at SSRN 4243426, 2022 - papers.ssrn.com
Brain hemorrhage which can also be termed as Acute Intracranial hemorrhage (ICH) is a life-
threatening disease that requires emergency medical attention, which is routinely diagnosed …
threatening disease that requires emergency medical attention, which is routinely diagnosed …
Gesture Recognition using Conditional Generative Adversarial Networks
G Putri, H Santoso - Sinkron: jurnal dan penelitian teknik …, 2022 - jurnal.polgan.ac.id
Sign language is very useful for giving signs to communication partners, in this case, signs
are not only for people with disabilities but can also be used by normal people. Even in …
are not only for people with disabilities but can also be used by normal people. Even in …