Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images

DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …

Cloud computing-based framework for breast cancer diagnosis using extreme learning machine

V Lahoura, H Singh, A Aggarwal, B Sharma… - Diagnostics, 2021 - mdpi.com
Globally, breast cancer is one of the most significant causes of death among women. Early
detection accompanied by prompt treatment can reduce the risk of death due to breast …

Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)

IJ Hussein, MA Burhanuddin, MA Mohammed… - Expert …, 2022 - Wiley Online Library
Ultrasound imaging (US) is one of the most common diagnostic imaging tools for producing
images of the human body in clinical practice. This work is devoted to studying ultrasound …

Instruments evaluating the duration and pace of clinical encounters: A scoping review

CS Jacome, NRE Suarez, EH Golembiewski… - Patient Education and …, 2024 - Elsevier
Objective Hurried encounters in clinical settings contribute to dissatisfaction among both
patients and clinicians and may indicate and contribute to low-quality care. We sought to …

Emergency room nurses' caring ability and its relationship with patient safety outcomes: A cross-sectional study

LJ Labrague - International Emergency Nursing, 2024 - Elsevier
Introduction Nurse caring ability plays a crucial role in providing quality care and ensuring
patient safety. However, further research is warranted to understand the specific impact of …

Coping strategies adopted by frontline nurses in dealing with COVID‐19 patients in a developing country during the pandemic: A qualitative study

MKK Rony, MM Rahman, MAA Saki, MR Parvin… - Nursing …, 2023 - Wiley Online Library
Aim This study aimed to explore the coping strategies adopted by frontline nurses in dealing
with COVID‐19 patients during the pandemic in Bangladesh. Design A qualitative …

Incorporating artificial fish swarm in ensemble classification framework for recurrence prediction of cervical cancer

G Senthilkumar, J Ramakrishnan, J Frnda… - IEEE …, 2021 - ieeexplore.ieee.org
IoT has facilitated predominant advancements in cancer research by incorporating Artificial
intelligence (AI) that enables human decision-makers to achieve a better decision. Recently …

Service Quality Towards Retail Stores on Expected and Perceived Service Quality

SR Mary, S Sharma, B Malviya… - … Business Review: Int …, 2023 - dialnet.unirioja.es
Purpose: The purpose of this research is to investigate the relationship between expected
service quality and perceived service quality in retail stores. Theoretical framework: The …

A fusion algorithm based on composite decomposition for PET and MRI medical images

J Zhou, X Xing, M Yan, D Yuan, C Zhu, C Zhang… - … Signal Processing and …, 2022 - Elsevier
Medical image fusion is of great significance in medical analysis and disease diagnosis.
Until now, there are still limitations to the current fusion methods to our current knowledge …

Machine learning-based lean service quality improvement by reducing waiting time in the healthcare sector

BT Garedew, DK Azene, K Jilcha… - International Journal of …, 2024 - emerald.com
Purpose The study presented healthcare service quality, lean thinking and Six Sigma to
enhance patient satisfaction. Moreover, the notion of machine learning is combined with …