Gold nanoparticles-based photothermal therapy for breast cancer

MA Dheyab, AA Aziz, PM Khaniabadi… - Photodiagnosis and …, 2023 - Elsevier
AuNPs-mediated photothermal therapy (PTT) is gaining popularity in both laboratory
research and medical applications. It has proven clear advantages in breast cancer therapy …

[HTML][HTML] Deep learning in different ultrasound methods for breast cancer, from diagnosis to prognosis: current trends, challenges, and an analysis

H Afrin, NB Larson, M Fatemi, A Alizad - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is one of the leading causes of cancer death among women.
Ultrasound is a harmless imaging modality used to help make decisions about who should …

A novel framework of adaptive fuzzy-GLCM segmentation and fuzzy with capsules network (F-CapsNet) classification

R Ali, A Manikandan, J Xu - Neural Computing and Applications, 2023 - Springer
In this paper, offer a new framework for skin disease image recognition using deep learning
techniques and local descriptor encoding approaches. For the purpose of detecting …

[HTML][HTML] Application of artificial intelligence in predicting lymph node metastasis in breast cancer

GO Windsor, H Bai, AP Lourenco, Z Jiao - Frontiers in radiology, 2023 - frontiersin.org
Breast cancer is a leading cause of death for women globally. A characteristic of breast
cancer includes its ability to metastasize to distant regions of the body, and the disease …

AI in breast imaging: Applications, challenges, and future research

P Oza - … intelligence and modelling techniques for disease …, 2024 - Elsevier
Breast cancer is one of the leading causes of mortality for women all over the world. This
illness significantly threatens the physical and emotional health of women. Breast cancer …

Certain investigation of optimization methods of sensor nodes in biomedical recording systems

N Ashokkumar, CK Pappa, S Kumar… - 2023 9th …, 2023 - ieeexplore.ieee.org
Biosensors will monitor a patient's physiological signals (ECG, EEG, etc.) and send an alarm
as soon as irregularities are discovered. Downsized biomedical sensors are the focus of this …

[HTML][HTML] A Novel Rice Plant Leaf Diseases Detection Using Deep Spectral Generative Adversarial Neural Network

K Mahadevan, A Punitha, J Suresh - International Journal of Cognitive …, 2024 - Elsevier
The farming industry widely requires automatic detection and analysis of rice diseases to
avoid wasting financial and other resources, reduce yield loss, improve processing …

Innovative Business Research in Finance and Marketing System Based on Ethically Governed Artificial Intelligence

R Adarsh, RH Pillai… - … Conference on Science …, 2023 - ieeexplore.ieee.org
The purpose of this study is to enquire about potential of using ethically governed artificial
intelligence (AI) in the finance and marketing systems of businesses. The integration of AI in …

[PDF][PDF] Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction

OA Jassim, MJ Abed, ZHS Saied - Baghdad Science Journal, 2024 - iasj.net
Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning
and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer …

[HTML][HTML] Automatic recognition of Rice Plant leaf diseases detection using deep neural network with improved threshold neural network

K Mahadevan, A Punitha, J Suresh - e-Prime-Advances in Electrical …, 2024 - Elsevier
The farming industry widely requires automatic detection and analysis of rice diseases to
avoid wasting financial and other resources, reduce yield loss, improve processing …