We used four deep learning models (ConvNeXt, PlexusNet, MobileNet, and SwinTransformer) covering a variety of model complexity and efficacy. We trained these models on a previously published ...
A comparative experiment has been designed to validate our hypothesis as shown in the figure below. We used lung cancer and ABUS datasets to pre-train our previously proposed architecture. We focused ...
BERLIN, Germany — Artificial intelligence (AI)–assisted capsule endoscopy (CE) readings showed higher sensitivity and accuracy in detecting ulcers and erosions in patients with inflammatory bowel ...
Narrow-band imaging demonstrated superior visibility of colorectal lesions, with a significantly lower miss rate than white-light imaging or texture and color enhancement imaging modes. Detection ...
Tumor volumetric correlation with plasma cell free DNA (cfDNA) mutation detection in metastatic lung cancers. A preliminary single institution experience with droplet digital polymerase chain reaction ...
Manufacturing optimization is projected to expand batch output by ~50%, improving supply reliability and supporting higher-throughput PSMA PET imaging services. Increased radioactivity extends shelf ...
New data from the MEL-SELF trial show gaps in melanoma self-surveillance confidence, highlighting opportunities to improve ...
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