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 …
[HTML][HTML] Transformers in medical image analysis
Transformers have dominated the field of natural language processing and have recently
made an impact in the area of computer vision. In the field of medical image analysis …
made an impact in the area of computer vision. In the field of medical image analysis …
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
Advances in medical image analysis with vision transformers: a comprehensive review
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …
has recently also triggered broad interest in Computer Vision. Among other merits …
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
Colorectal cancer (CRC) is one of the common types of cancer with a high mortality rate.
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
Polyp detection from colorectum images by using attentive YOLOv5
Background: High-quality colonoscopy is essential to prevent the occurrence of colorectal
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
Vision transformer architecture and applications in digital health: a tutorial and survey
The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that
plays an important role in digital health applications. Medical images account for 90% of the …
plays an important role in digital health applications. Medical images account for 90% of the …
A survey on attention mechanisms for medical applications: are we moving toward better Algorithms?
The increasing popularity of attention mechanisms in deep learning algorithms for computer
vision and natural language processing made these models attractive to other research …
vision and natural language processing made these models attractive to other research …
A two-stage method for polyp detection in colonoscopy images based on saliency object extraction and transformers
The gastrointestinal tract is responsible for the entire digestive process. Several diseases,
including colorectal cancer, can affect this pathway. Among the deadliest cancers, colorectal …
including colorectal cancer, can affect this pathway. Among the deadliest cancers, colorectal …
[HTML][HTML] Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability
BBSL Houwen, KJ Nass, JLA Vleugels… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …
are valuable resources for artificial intelligence (AI) research. Currently, little is known …