Awesome-Transformer-in-Medical-Imaging and Awesome-Transformer-Attention
These tools are **competitors**, as both provide ultimately comprehensive paper lists of Vision Transformer/Attention papers, codes, and related websites, with "Awesome-Transformer-Attention" having a much larger community recognition.
About Awesome-Transformer-in-Medical-Imaging
xmindflow/Awesome-Transformer-in-Medical-Imaging
[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
This resource provides a comprehensive list of research papers and associated code for using Vision Transformers (a type of AI model) in medical imaging. It's designed for medical researchers, clinicians, and scientists who are exploring advanced AI techniques to improve tasks like disease diagnosis, image analysis, and treatment planning. You can find curated information on how these models are applied to various medical imaging challenges, from classifying diseases in X-rays to segmenting anomalies in scans.
About Awesome-Transformer-Attention
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
This list helps researchers and practitioners in computer vision keep up with the latest advancements in Vision Transformers and Attention mechanisms. It compiles academic papers, associated code, and relevant websites, making it easier to discover new techniques for tasks like image classification, object detection, segmentation, and video analysis. Anyone working on visual AI projects, from academic researchers to engineers developing vision systems, would find this valuable for staying current and finding implementations.
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