[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities
S Sushanki, AK Bhandari, AK Singh - Archives of Computational Methods …, 2024 - Springer
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
Identifying malignant breast ultrasound images using ViT-patch
Recently, the Vision Transformer (ViT) model has been used for various computer vision
tasks, due to its advantages to extracting long-range features. To better integrate the long …
tasks, due to its advantages to extracting long-range features. To better integrate the long …
A survey on analog-to-digital converter integrated circuits for miniaturized high resolution ultrasonic imaging system
As traditional ultrasonic imaging systems (UIS) are expensive, bulky, and power-consuming,
miniaturized and portable UIS have been developed and widely utilized in the biomedical …
miniaturized and portable UIS have been developed and widely utilized in the biomedical …
Incorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review
SN El-Tallawy, JV Pergolizzi, I Vasiliu-Feltes… - Pain and Therapy, 2024 - Springer
Pain is a significant health issue, and pain assessment is essential for proper diagnosis,
follow-up, and effective management of pain. The conventional methods of pain assessment …
follow-up, and effective management of pain. The conventional methods of pain assessment …
An efficient machine learning-based model to effectively classify the type of noises in QR code: A hybrid approach
Granting smart device consumers with information, simply and quickly, is what drives quick
response (QR) codes and mobile marketing to go hand in hand. It boosts marketing …
response (QR) codes and mobile marketing to go hand in hand. It boosts marketing …
[Retracted] Blockchain‐Based Privacy Access Control Mechanism and Collaborative Analysis for Medical Images
Medical image analysis technology based on deep learning has played an important role in
computer‐aided disease diagnosis and treatment. Classification accuracy has always been …
computer‐aided disease diagnosis and treatment. Classification accuracy has always been …
Hybrid pixel based method for multimodal image fusion based on Integration of Pulse Coupled Neural Network (PCNN) and Genetic Algorithm (GA) using Empirical …
R Indhumathi, TV Narmadha - Microprocessors and Microsystems, 2022 - Elsevier
Medical diagnosis using images is critical for defining the patient's condition and assisting
the decision process for treatment by the physician. Certain infections and conditions like …
the decision process for treatment by the physician. Certain infections and conditions like …
Design and characterization of a high performance transceiver integrated PMUTs array for breast cancer imaging
L Jia, Y Liang, G Zhang, R Wang, C He, Y Yang, J Cui… - Measurement, 2024 - Elsevier
This paper introduces an innovative transceiver integrated with high-performance
piezoelectric micromachined ultrasonic transducers (PMUTs) array, specifically designed for …
piezoelectric micromachined ultrasonic transducers (PMUTs) array, specifically designed for …
Autonomous robotic system for breast biopsy with deformation compensation
Image-guided biopsy is the most common technique for breast cancer diagnosis. Although
magnetic resonance imaging (MRI) has the highest sensitivity in breast lesion detection …
magnetic resonance imaging (MRI) has the highest sensitivity in breast lesion detection …