Transformers in medical imaging: A survey

F Shamshad, S Khan, SW Zamir, MH Khan… - Medical Image …, 2023 - Elsevier
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

Vision Transformers in medical computer vision—A contemplative retrospection

A Parvaiz, MA Khalid, R Zafar, H Ameer, M Ali… - … Applications of Artificial …, 2023 - Elsevier
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 …

Object detection using deep learning, CNNs and vision transformers: A review

AB Amjoud, M Amrouch - IEEE Access, 2023 - ieeexplore.ieee.org
Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …

A survey on attention mechanisms for medical applications: are we moving toward better Algorithms?

T Gonçalves, I Rio-Torto, LF Teixeira… - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing popularity of attention mechanisms in deep learning algorithms for computer
vision and natural language processing made these models attractive to other research …

Transfer learning for automatic image orientation detection using deep learning and logistic regression

AB Amjoud, M Amrouch - IEEE Access, 2022 - ieeexplore.ieee.org
The number of images produced each day increased significantly. The ability to detect and
correct an image's orientation can provide several advantages in computer vision. This …

Automated radiology report generation using transformers

W Nimalsiri, M Hennayake… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Given the rapid increase of respiratory illnesses in recent times, the demand for medical
report writing for chest X-Rays (CXR) has significantly increased. In practice, a specialized …

Lesion guided explainable few weak-shot medical report generation

J Sun, D Wei, L Wang, Y Zheng - International Conference on Medical …, 2022 - Springer
Medical images are widely used in clinical practice for diagnosis. Automatically generating
interpretable medical reports can reduce radiologists' burden and facilitate timely care …

Classification of diabetic retinopathy severity in fundus images using the vision transformer and residual attention

Z Gu, Y Li, Z Wang, J Kan, J Shu… - Computational …, 2023 - Wiley Online Library
Diabetic retinopathy (DR) is a common retinal vascular disease, which can cause severe
visual impairment. It is of great clinical significance to use fundus images for intelligent …

Transformers Are All You Need to Generate Automatic Report from Chest X-ray Images

C Mondal, DS Pham, T Tan, T Gedeon… - … Conference on Digital …, 2023 - ieeexplore.ieee.org
Chest X-ray imaging plays a vital role in diagnosing and treating thoracic diseases in clinical
and research settings. However, the process of examining and creating reports for chest X …

Advancement in medical report generation: current practices, challenges, and future directions

M Rehman, I Shafi, J Ahmad, CO Garcia… - Medical & Biological …, 2024 - Springer
The correct analysis of medical images requires the medical knowledge and expertise of
radiologists to understand, clarify, and explain complex patterns and diagnose diseases …