Survey of explainable AI techniques in healthcare
Artificial intelligence (AI) with deep learning models has been widely applied in numerous
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …
Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
Explainable artificial intelligence: an analytical review
This paper provides a brief analytical review of the current state‐of‐the‐art in relation to the
explainability of artificial intelligence in the context of recent advances in machine learning …
explainability of artificial intelligence in the context of recent advances in machine learning …
A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images
The world is suffering from an existential global health crisis known as the COVID-19
pandemic. Countries like India, Bangladesh, and other developing countries are still having …
pandemic. Countries like India, Bangladesh, and other developing countries are still having …
Deep learning approaches for data augmentation in medical imaging: a review
A Kebaili, J Lapuyade-Lahorgue, S Ruan - Journal of Imaging, 2023 - mdpi.com
Deep learning has become a popular tool for medical image analysis, but the limited
availability of training data remains a major challenge, particularly in the medical field where …
availability of training data remains a major challenge, particularly in the medical field where …
Vision Transformers in medical computer vision—A contemplative retrospection
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …
contained within images, have evolved as one of the most contemporary and dominant …
Detection and analysis of COVID-19 in medical images using deep learning techniques
The main purpose of this work is to investigate and compare several deep learning
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …
COVID-19 image classification using deep learning: Advances, challenges and opportunities
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset
This paper aims to propose a high-speed and accurate fully-automated method to detect
COVID-19 from the patient's chest CT scan images. We introduce a new dataset that …
COVID-19 from the patient's chest CT scan images. We introduce a new dataset that …