A systematic review of transformer-based pre-trained language models through self-supervised learning
Transfer learning is a technique utilized in deep learning applications to transmit learned
inference to a different target domain. The approach is mainly to solve the problem of a few …
inference to a different target domain. The approach is mainly to solve the problem of a few …
A comprehensive review on advancement in deep learning techniques for automatic detection of tuberculosis from chest X-ray images
Tuberculosis is an infectious disease caused by a widely spread microbe called
Mycobacterium tuberculosis (MTB). Tuberculosis (TB) detection with chest x-ray images is …
Mycobacterium tuberculosis (MTB). Tuberculosis (TB) detection with chest x-ray images is …
B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images
A chest x-ray radiograph is still the global standard for diagnosing pneumonia and helps
distinguish between bacterial and viral pneumonia. Despite several studies, radiologists and …
distinguish between bacterial and viral pneumonia. Despite several studies, radiologists and …
[HTML][HTML] Applications of deep learning in trauma radiology: a narrative review
CT Cheng, CH Ooyang, CH Liao, SC Kang - Biomedical Journal, 2025 - Elsevier
Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying
injuries requiring intervention. Deep learning (DL) has become mainstream in medical …
injuries requiring intervention. Deep learning (DL) has become mainstream in medical …
Tuberculosis detection from chest x-ray image modalities based on transformer and convolutional neural network
Tuberculosis (TB) is an airborne disease with a high fatality rate that often affects people's
lungs. Early detection of the disease can guarantee a cure, but that is not the case due to the …
lungs. Early detection of the disease can guarantee a cure, but that is not the case due to the …
Visual attention condenser model for multiple disease detection from heterogeneous medical image modalities
Abstract The World Health Organization (WHO) has identified breast cancer and
tuberculosis (TB) as major global health issues. While breast cancer is a top killer of women …
tuberculosis (TB) as major global health issues. While breast cancer is a top killer of women …
[HTML][HTML] Convolutional Neural Network–Vision Transformer Architecture with Gated Control Mechanism and Multi-Scale Fusion for Enhanced Pulmonary Disease …
O Chibuike, X Yang - Diagnostics, 2024 - mdpi.com
Background/Objectives: Vision Transformers (ViTs) and convolutional neural networks
(CNNs) have demonstrated remarkable performances in image classification, especially in …
(CNNs) have demonstrated remarkable performances in image classification, especially in …
An efficient deep learning network with orthogonal softmax layer for automatic detection of tuberculosis
PK Das, S Sreevatsav, A Abraham - Engineering Applications of Artificial …, 2024 - Elsevier
Tuberculosis (TB) is a persistent bacterial lung infection that affects the lungs severely. It is
one of the fatal diseases among the top ten leading causes of death. Thus, early and …
one of the fatal diseases among the top ten leading causes of death. Thus, early and …
Early screening of miliary tuberculosis with tuberculous meningitis based on few-shot learning with multiple windows and feature granularities
Y Tian, Y Liang, Y Chen, L Li, H Bian - Scientific Reports, 2024 - nature.com
Tuberculous meningitis (TBM) is a fatal tuberculosis caused by a large number of
Mycobacterium tuberculosis (M. tuberculosis) spread by blood flow, with a case fatality rate …
Mycobacterium tuberculosis (M. tuberculosis) spread by blood flow, with a case fatality rate …
Analysis and Measurement of Tuberculin Skin Test Induration Using Deep Neural Network.
OA Akinola, JF Orimolade, AS Afolabi… - … Journal of Online & …, 2024 - search.ebscohost.com
Abstract The World Health Organization (WHO) posited that tuberculosis (TB) is among the
world's ten greatest causes of mortality. Early case identification and timely treatment could …
world's ten greatest causes of mortality. Early case identification and timely treatment could …