RNON: image inpainting via repair network and optimization network
Y Chen, R Xia, K Zou, K Yang - International Journal of Machine Learning …, 2023 - Springer
In the last few years, image inpainting methods based on deep learning models had shown
obvious advantages compared with existing traditional methods. The former can better …
obvious advantages compared with existing traditional methods. The former can better …
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection …
YH Bhosale, KS Patnaik - Multimedia Tools and Applications, 2023 - Springer
This review investigates how Deep Machine Learning (DML) has dealt with the Covid-19
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …
[HTML][HTML] FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI
MM Hasan, MM Hossain, MM Rahman… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic wreaks havoc on healthcare systems all across the world. In
pandemic scenarios like COVID-19, the applicability of diagnostic modalities is crucial in …
pandemic scenarios like COVID-19, the applicability of diagnostic modalities is crucial in …
Cognitively enhanced versions of capuchin search algorithm for feature selection in medical diagnosis: A COVID-19 case study
Feature selection (FS) is a crucial area of cognitive computation that demands further
studies. It has recently received a lot of attention from researchers working in machine …
studies. It has recently received a lot of attention from researchers working in machine …
COVID-ECG-RSNet: COVID-19 classification from ECG images using swish-based improved ResNet model
Millions of humans worldwide have been impacted by consecutive COVID-19 waves during
the past three years. The correct treatment for COVID-19 has not yet been identified because …
the past three years. The correct treatment for COVID-19 has not yet been identified because …
[HTML][HTML] Research on an unsupervised person re-identification based on image quality enhancement method
Z Hao, H Ge, J Huang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Research on person re-identification (Re-ID) has important value in pedestrian detection,
target tracking, criminal investigation, and other related fields. In unsupervised pedestrian …
target tracking, criminal investigation, and other related fields. In unsupervised pedestrian …
[HTML][HTML] CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis?
Abstract Background Convolutional Neural Networks (CNNs) and the hybrid models of
CNNs and Vision Transformers (VITs) are the recent mainstream methods for COVID-19 …
CNNs and Vision Transformers (VITs) are the recent mainstream methods for COVID-19 …
Thoracic-net: Explainable artificial intelligence (XAI) based few shots learning feature fusion technique for multi-classifying thoracic diseases using medical imaging
Abstract Background & Need: The early detection of thoracic diseases and COVID-19
(coronavirus disease) significantly limits propagation and increases therapeutic outcomes …
(coronavirus disease) significantly limits propagation and increases therapeutic outcomes …
Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight
SK Singh, KS Patnaik - Multimedia Tools and Applications, 2024 - Springer
Breast Cancer, with an expected 42,780 deaths in the US alone in 2024, is one of the most
prevalent types of cancer. The death toll due to breast cancer would be very high if it were to …
prevalent types of cancer. The death toll due to breast cancer would be very high if it were to …
Intelligent deep model based on convolutional neural network's and multi-layer perceptron to classify cardiac abnormality in diabetic patients
M Saraswat, AK Wadhwani, S Wadhwani - Physical and Engineering …, 2024 - Springer
The ECG is a crucial tool in the medical field for recording the heartbeat signal over time,
aiding in the identification of various cardiac diseases. Commonly, the interpretation of …
aiding in the identification of various cardiac diseases. Commonly, the interpretation of …