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Can deep learning effectively diagnose cardiac amyloidosis with 99mTc-PYP scintigraphy?
This study investigates the effectiveness of deep learning models in diagnosing cardiac
amyloidosis using 99mTc-PYP scintigraphy. We evaluated more than 40 deep learning …
amyloidosis using 99mTc-PYP scintigraphy. We evaluated more than 40 deep learning …
A robust deep learning framework for multiclass skin cancer classification
Skin cancer represents a significant global health concern, where early and precise
diagnosis plays a pivotal role in improving treatment efficacy and patient survival rates …
diagnosis plays a pivotal role in improving treatment efficacy and patient survival rates …
Biomechanical data-driven prediction and analysis based on transformer model
Z Yan, W Fan - Molecular & Cellular Biomechanics, 2025 - sin-chn.com
With the development of high-precision sensors and data acquisition equipment,
biomechanical data presents high-dimensional, strong time-series dependence and …
biomechanical data presents high-dimensional, strong time-series dependence and …
U-Net-Based Models for Precise Brain Stroke Segmentation
S İnce, I Kunduracioglu, B Bayram, I Pacal - Chaos Theory and … - dergipark.org.tr
Ischemic stroke, a widespread neurological condition with a substantial mortality rate,
necessitates accurate delineation of affected regions to enable proper evaluation of patient …
necessitates accurate delineation of affected regions to enable proper evaluation of patient …