[HTML][HTML] 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 …
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] X-RCRNet: An explainable deep-learning network for COVID-19 detection using ECG beat signals
Wearable systems measuring human physiological indicators with integrated sensors and
supervised learning-based medical image analysis (eg ECG, X-ray, CT or ultrasound …
supervised learning-based medical image analysis (eg ECG, X-ray, CT or ultrasound …
[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 …
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 …