Advances in single-component inorganic nanostructures for photoacoustic imaging guided photothermal therapy
Phototheranostic based on photothermal therapy (PTT) and photoacoustic imaging (PAI), as
one of avant-garde medical techniques, have sparked growing attention because it allows …
one of avant-garde medical techniques, have sparked growing attention because it allows …
Role of drone technology hel** in alleviating the COVID-19 pandemic
The COVID-19 pandemic, caused by a new coronavirus, has affected economic and social
standards as governments and healthcare regulatory agencies throughout the world …
standards as governments and healthcare regulatory agencies throughout the world …
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation
A Qi, D Zhao, F Yu, AA Heidari, Z Wu, Z Cai… - Computers in biology …, 2022 - Elsevier
This paper focuses on the study of Coronavirus Disease 2019 (COVID-19) X-ray image
segmentation technology. We present a new multilevel image segmentation method based …
segmentation technology. We present a new multilevel image segmentation method based …
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++
J Li, K Liu, Y Hu, H Zhang, AA Heidari, H Chen… - Computers in Biology …, 2023 - Elsevier
Computerized tomography (CT) is of great significance for the localization and diagnosis of
liver cancer. Many scholars have recently applied deep learning methods to segment CT …
liver cancer. Many scholars have recently applied deep learning methods to segment CT …
Multi-verse optimizer with rosenbrock and diffusion mechanisms for multilevel threshold image segmentation from COVID-19 chest X-ray images
Y Han, W Chen, AA Heidari, H Chen - Journal of Bionic Engineering, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19) is the most severe epidemic that is
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
[HTML][HTML] Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy
BACKGROUND Liver disease indicates any pathology that can harm or destroy the liver or
prevent it from normal functioning. The global community has recently witnessed an …
prevent it from normal functioning. The global community has recently witnessed an …
Multi-level thresholding segmentation for pathological images: Optimal performance design of a new modified differential evolution
L Ren, D Zhao, X Zhao, W Chen, L Li, TS Wu… - Computers in Biology …, 2022 - Elsevier
The effective analytical processing of pathological images is crucial in promoting the
development of medical diagnostics. Based on this matter, in this research, a multi-level …
development of medical diagnostics. Based on this matter, in this research, a multi-level …
PSOWNNs‐CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods
A Nomani, Y Ansari, MH Nasirpour… - Computational …, 2022 - Wiley Online Library
Early diagnosis of breast cancer is an important component of breast cancer therapy. A
variety of diagnostic platforms can provide valuable information regarding breast cancer …
variety of diagnostic platforms can provide valuable information regarding breast cancer …
Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19
COVID-19 is pervasive and threatens the safety of people around the world. Therefore, now,
a method is needed to diagnose COVID-19 accurately. The identification of COVID-19 by X …
a method is needed to diagnose COVID-19 accurately. The identification of COVID-19 by X …