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 …

[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 developing technology in the healthcare system to …

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 …

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 …

[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
keeping 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 …

Automated mango leaf infection classification using weighted and deep features with optimized recurrent neural network concept

A Selvakumar, A Balasundaram - The Imaging Science Journal, 2024 - Taylor & Francis
Automatic detection and classification of mango leaf diseases is a complex task and manual
detection system has issues like absence of experts, high cost, and lot of variations in the …

Application of machine learning and deep learning models in prostate cancer diagnosis using medical images: A systematic review

O Olabanjo, A Wusu, M Asokere, O Afisi, B Okugbesan… - Analytics, 2023 - mdpi.com
Introduction: Prostate cancer (PCa) is one of the deadliest and most common causes of
malignancy and death in men worldwide, with a higher prevalence and mortality in …

ABT-GAMNet: A novel adaptive Boundary-aware transformer with Gated attention mechanism for automated skin lesion segmentation

J Deepa, P Madhavan - Biomedical Signal Processing and Control, 2023 - Elsevier
Segmentation of skin lesions is the hotspot development process in the medical field. As
skin cancer becomes most disastrous for humans, it requires framing an effective model for …