[HTML][HTML] Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
M Sharkas, O Attallah - Scientific Reports, 2024 - nature.com
Colorectal cancer (CRC) exhibits a significant death rate that consistently impacts human
lives worldwide. Histopathological examination is the standard method for CRC diagnosis …
lives worldwide. Histopathological examination is the standard method for CRC diagnosis …
[HTML][HTML] Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
The severe progression of Diabetes Mellitus (DM) stands out as one of the most significant
concerns for healthcare officials worldwide. Diabetic Retinopathy (DR) is a common …
concerns for healthcare officials worldwide. Diabetic Retinopathy (DR) is a common …
NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data
In the realm of precision medicine, the potential of deep learning is progressively harnessed
to facilitate intricate clinical decision-making, especially when navigating multifaceted …
to facilitate intricate clinical decision-making, especially when navigating multifaceted …
[HTML][HTML] Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication
Real-time speech-to-text and text-to-speech technologies have significantly influenced the
accessibility of communication for individuals who are deaf or mute. This research aims to …
accessibility of communication for individuals who are deaf or mute. This research aims to …
[HTML][HTML] Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics
Data categorization is a top concern in medical data to predict and detect illnesses; thus, it is
applied in modern healthcare informatics. In modern informatics, machine learning and …
applied in modern healthcare informatics. In modern informatics, machine learning and …
An SDN-enabled Fog Computing Framework for WBAN Applications in the Healthcare Sector
SS Tripathy, S Bebortta, MA Mohammed, J Nedoma… - Internet of Things, 2024 - Elsevier
For healthcare systems utilizing Wireless Body Area Networks (WBANs), maintaining the
network's diverse Quality of Service (QoS) metrics necessitates effective communication …
network's diverse Quality of Service (QoS) metrics necessitates effective communication …
[HTML][HTML] A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification
In response to the growing number of diabetes cases worldwide, Our study addresses the
escalating issue of diabetic eye disease (DED), a significant contributor to vision loss …
escalating issue of diabetic eye disease (DED), a significant contributor to vision loss …
Early warning and decision-making model of geological disaster damage of transmission lines based on intelligent online monitoring technology
Y Yang, X Zhu, X Song, H Zhang… - International Journal of …, 2024 - inderscienceonline.com
In adverse weather conditions, using the naked eye or actual measurement to determine the
abnormal situation of transmission lines can accumulate a large amount of data and …
abnormal situation of transmission lines can accumulate a large amount of data and …