Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers
PK Jain, KV Tadepalli, S Roy, N Sharma - Multimedia Tools and …, 2024 - Springer
Atherosclerosis, caused by a variety of extrinsic risk factors, is the major cause of the
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …
A literature survey on various aspect of class imbalance problem in data mining
S Goswami, AK Singh - Multimedia Tools and Applications, 2024 - Springer
Data has become much widely available in recent years. Since the past years, Learning
classifiers from unbalanced data is a crucial issue that comes up frequently in classification …
classifiers from unbalanced data is a crucial issue that comes up frequently in classification …
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays
The increasing global incidence of COVID-19 necessitates the rapid development of a
reliable method for diagnosing the disease. The virus is spreading so quickly, that medical …
reliable method for diagnosing the disease. The virus is spreading so quickly, that medical …
An explainable AI based clinical assistance model for identifying patients with the onset of sepsis
The high mortality rate of sepsis, especially in Intensive Care Unit (ICU) makes it third-
highest mortality disease globally. The treatment of sepsis is also time consuming and …
highest mortality disease globally. The treatment of sepsis is also time consuming and …
RTAU-Net: A novel 3D rectal tumor segmentation model based on dual path fusion and attentional guidance
D Li, J Wang, J Yang, J Zhao, X Yang, Y Cui… - Computer Methods and …, 2023 - Elsevier
Background and objective According to the Global Cancer Statistics 2020, colorectal cancer
has the third-highest diagnosis rate (10.0%) and the second-highest mortality rate (9.4%) …
has the third-highest diagnosis rate (10.0%) and the second-highest mortality rate (9.4%) …
CESCAL: A joint compression-encryption scheme based on convolutional autoencoder and logistic map
In the modern digital world, it is getting harder to share voluminous data with high
dimensions, over the internet with adequate security. Images build up a noteworthy section …
dimensions, over the internet with adequate security. Images build up a noteworthy section …
A modified deep semantic binarization network for degradation removal in palm leaf manuscripts
NS Rani - Multimedia Tools and Applications, 2024 - Springer
Palm leaves are the earliest forms of documentation for literature, showcasing rich traditions,
philosophical insights, and scientific traditions in areas such as mathematics, medicine …
philosophical insights, and scientific traditions in areas such as mathematics, medicine …
[HTML][HTML] Segmentation and region quantification of bubbles in small bowel capsule endoscopy images using wavelet transform
Objective A large number of captured frames by the wireless capsule endoscopy have been
contaminated with different amounts of bubbles. Bubbles can degrade the visualization …
contaminated with different amounts of bubbles. Bubbles can degrade the visualization …
Hybridized soccer league-grey wolf Optimization algorithm and siamese network synergism based multimodal fusion scheme for prognosis of brain diseases
S Mukherjee, S Banerjee, SS Chaudhuri - Multimedia Tools and …, 2024 - Springer
This study proposes a novel multi-stage multimodal image fusion approach for consolidating
information from images into single scene by leveraging the efficiencies of newly designed …
information from images into single scene by leveraging the efficiencies of newly designed …
DFMN: Dense fused Maxout network for severity prediction of brain tumor using hybrid tumor segmentation algorithm
R Rajeswari, S Sahu, R Tripathy, MSS Sai - Biomedical Signal Processing …, 2024 - Elsevier
A tumor is an accumulation in solid form of abnormal tissues named neoplasm that is
categorized as a primary tumor as well as a secondary tumor. Severity prediction of brain …
categorized as a primary tumor as well as a secondary tumor. Severity prediction of brain …