[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

G Yang, Q Ye, J Xia - Information Fusion, 2022 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …

[HTML][HTML] Deep learning for chest X-ray analysis: A survey

E Çallı, E Sogancioglu, B van Ginneken… - Medical Image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

SC Huang, A Pareek, S Seyyedi, I Banerjee… - NPJ digital …, 2020 - nature.com
Advancements in deep learning techniques carry the potential to make significant
contributions to healthcare, particularly in fields that utilize medical imaging for diagnosis …

Can AI help in screening viral and COVID-19 pneumonia?

MEH Chowdhury, T Rahman, A Khandakar… - Ieee …, 2020 - ieeexplore.ieee.org
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any …

Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization

T Rahman, A Khandakar, MA Kadir, KR Islam… - Ieee …, 2020 - ieeexplore.ieee.org
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one
of the top 10 leading causes of death. Accurate and early detection of TB is very important …

Pneumonia classification using deep learning from chest X-ray images during COVID-19

AU Ibrahim, M Ozsoz, S Serte, F Al-Turjman… - Cognitive …, 2021 - Springer
The outbreak of the novel corona virus disease (COVID-19) in December 2019 has led to
global crisis around the world. The disease was declared pandemic by World Health …

A novel transfer learning based approach for pneumonia detection in chest X-ray images

V Chouhan, SK Singh, A Khamparia, D Gupta… - Applied Sciences, 2020 - mdpi.com
Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …

A survey on explainable artificial intelligence (xai): Toward medical xai

E Tjoa, C Guan - IEEE transactions on neural networks and …, 2020 - ieeexplore.ieee.org
Recently, artificial intelligence and machine learning in general have demonstrated
remarkable performances in many tasks, from image processing to natural language …

Transfer learning with deep convolutional neural network (CNN) for pneumonia detection using chest X-ray

T Rahman, MEH Chowdhury, A Khandakar, KR Islam… - Applied Sciences, 2020 - mdpi.com
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either
bacterial or viral infection. It can be life-endangering if not acted upon at the right time and …

[HTML][HTML] Hybrid deep learning for detecting lung diseases from X-ray images

S Bharati, P Podder, MRH Mondal - Informatics in Medicine Unlocked, 2020 - Elsevier
Lung disease is common throughout the world. These include chronic obstructive pulmonary
disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is …