Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and …

M He, Y Cao, C Chi, X Yang, R Ramin, S Wang… - Frontiers in …, 2023‏ - frontiersin.org
Multiparametric magnetic resonance imaging (mpMRI) has emerged as a first-line screening
and diagnostic tool for prostate cancer, aiding in treatment selection and noninvasive …

A critical analysis of machine learning in ship, offshore, and oil & gas corrosion research, part I: Corrosion detection and classification

MH Imran, MI Khan, S Jamaludin, I Hasan… - Ocean …, 2024‏ - Elsevier
Corrosion poses a significant threat to the integrity and longevity of ship, offshore, and oil &
gas structures, resulting in substantial economic losses, environmental hazards, and safety …

Optimized face detector-based intelligent face mask detection model in IoT using deep learning approach

RAS Naseri, A Kurnaz, HM Farhan - Applied Soft Computing, 2023‏ - Elsevier
The growth of the “Internet of Medical Things (IoMT)” allows for the collection and processing
of data in healthcare systems. At the same time, it is challenging to study the requirements of …

A smart solution for tomato leaf disease classification by modified recurrent neural network with severity computation

A Sreedevi, C Manike - Cybernetics and Systems, 2024‏ - Taylor & Francis
The artificial intelligence-assisted deep learning approach plays a significant task in
identifying diseases through a large set of plant leaf images. Thus, the major aim of the …

Modality-specific information disentanglement from multi-parametric MRI for breast tumor segmentation and computer-aided diagnosis

Q Chen, J Zhang, R Meng, L Zhou, Z Li… - … on Medical Imaging, 2024‏ - ieeexplore.ieee.org
Breast cancer is becoming a significant global health challenge, with millions of fatalities
annually. Magnetic Resonance Imaging (MRI) can provide various sequences for …

IoMT-based smart healthcare monitoring system using adaptive wavelet entropy deep feature fusion and improved RNN

MDM Akhtar, RSA Shatat, ASA Shatat… - Multimedia Tools and …, 2023‏ - Springer
With the help of pervasive computing, human living has changed into a smarter way using
the developments in IoMT, telecommunication technologies, and wearable sensors for …

ODMNet: Automated glaucoma detection and classification model using heuristically-aided optimized DenseNet and MobileNet transfer learning

FJ Xavier - Cybernetics and Systems, 2024‏ - Taylor & Francis
In various existing works, glaucoma detection is not predicted accurately, which may lead to
irreversible vision loss. A new framework is designed for detecting glaucoma by transfer …

[PDF][PDF] A systematic review on IoT and machine learning algorithms in e-healthcare

D Tenepalli, N TM - International Journal of Computing and Digital …, 2024‏ - researchgate.net
In recent years, the Internet of Things (IoT) has been adopted in many applications since its
usage is essential to daily life. Also, it is a develo** technology in the healthcare system to …

[HTML][HTML] A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction

R Islam, A Sultana, MDN Tuhin - Healthcare Analytics, 2024‏ - Elsevier
The liver is one of the most essential organs in the body, which helps with metabolism and
kee** the body healthy. Successful treatments and better patient outcomes depend on …

Enhanced segmentation with optimized nine-layered CNN-based classification of leaf diseases: an automatic approach for plant disease diagnosis

P Chillakuru, D Divya, K Ananthajothi - cybernetics and systems, 2024‏ - Taylor & Francis
The task of monitoring the plant leaves is considered to be error-prone, inconsistent, and
unreliable. Thus, certain deep learning algorithms are developed to detect plant leaf …