[HTML][HTML] A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images

CC Ukwuoma, Z Qin, MBB Heyat, F Akhtar… - Journal of Advanced …, 2023 - Elsevier
Introduction Pneumonia is a microorganism infection that causes chronic inflammation of the
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …

Automated lung-related pneumonia and COVID-19 detection based on novel feature extraction framework and vision transformer approaches using chest X-ray …

CC Ukwuoma, Z Qin, MBB Heyat, F Akhtar, A Smahi… - Bioengineering, 2022 - mdpi.com
According to research, classifiers and detectors are less accurate when images are blurry,
have low contrast, or have other flaws which raise questions about the machine learning …

Yapay zekâ ve tıbbi görüntüleme teknolojilerine genel bakış

F Atlan, İ Pençe - Acta Infologica, 2021 - dergipark.org.tr
Günümüzde yapay zekânın kullanıldığı alanlar her geçen gün artmakta olup, bu alanlardan
biri de sağlık sektörüdür. Özellikle görüntü işlemede oldukça başarılı sonuçlar vermesi …

Privacy-preserving federated learning for pneumonia diagnosis

S Sarkar, S Agrawal, TR Gadekallu, M Mahmud… - … Conference on Neural …, 2022 - Springer
Early diagnosis of diseases has become the major focus of researchers today. Machine
Learning (ML) and Deep Learning (DL) algorithms have provided a much-needed boost to …

A new hybrid approach for pneumonia detection using chest X-rays based on ACNN-LSTM and attention mechanism

S Lafraxo, M El Ansari, L Koutti - Multimedia Tools and Applications, 2024 - Springer
Pneumonia is a serious inflammatory disease that causes lung ulcers, and it is one of the
leading reasons for pediatric death in the world. Chest X-rays are perhaps the most …

Strengthening the training of convolutional neural networks by using Walsh matrix

T Ölmez, Z Dokur - arXiv preprint arXiv:2104.00035, 2021 - arxiv.org
DNN structures are continuously developing and achieving high performances in
classification problems. Also, it is observed that success rates obtained with DNNs are …

Diagnostic classification of cervical cell images from pap smear slides

M Talo - Academic Perspective Procedia, 2019 - acperpro.com
Abstract Analysis of pap smear images under a microscope by experts is a laborious and
time consuming task. Computer-assisted diagnostic (CAD) systems can simplify this tedious …

Analysis of pneumonia detection systems using deep learning-based approach

AB Godbin, SG Jasmine - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Deep learning technology has been utilized to analyze images in numerous medical sectors
in recent years. They are very helpful in extracting complicated information from input …

[PDF][PDF] An overview of artificial intelligence and medical imaging technologies

F ATLAN, İ PENÇE - Acta Infologica, 2021 - dergipark.org.tr
Nowadays, the use of artificial intelligence is increasing steadily, particularly in the health
sector. Deep learning, which is a sub-branch of artificial intelligence, is frequently preferred …

Enhancing Accuracy in the Detection of Pneumonia in Adult Patients: An Approach by Using Convolutional Neural Networks

Lusiana, AA Kurniasari, IF Kusumawati - International Conference on …, 2023 - Springer
Pneumonia is a significant respiratory condition that can cause severe health complications
in adult patients if not diagnosed and treated promptly. This study focuses on enhancing the …