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 …

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 …

Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays

H Malik, T Anees - Multimedia Tools and Applications, 2024 - Springer
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 …

An explainable AI based clinical assistance model for identifying patients with the onset of sepsis

S Chakraborty, K Kumar, BP Reddy… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
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 …

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%) …

CESCAL: A joint compression-encryption scheme based on convolutional autoencoder and logistic map

I Sabha, SA Parah, P Sarosh, MOU Islam - Multimedia Tools and …, 2024 - Springer
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 …

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 …

[HTML][HTML] Segmentation and region quantification of bubbles in small bowel capsule endoscopy images using wavelet transform

V Sadeghi, A Vard, M Sharifi, H Mir… - Informatics in Medicine …, 2023 - Elsevier
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 …

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 …

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 …