Agent-based large language model system for extracting structured data from breast cancer synoptic reports: a dual-validation study. [PDF]
Hart SN, Bergamaschi TS.
europepmc +1 more source
A field-acquired RGB-Depth image dataset for computer vision-based baby broccoli detection and size estimation under varying illumination conditions. [PDF]
Mohamed R +4 more
europepmc +1 more source
Some results on generalized truth-tables.
Applebee, Ralph C., Pahi, Biswambhar
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Pareto-Based Diagnostics and Selection for Mechanics-Synergy Trade-Offs in Unmeasured Muscle Activation Reconstruction. [PDF]
Jiang PH, Chan KY.
europepmc +1 more source
Segmentation Methodologies for the Construction of Hyperspectral Cell Nuclei Databases in Histopathology. [PDF]
Rosa-Olmeda G +5 more
europepmc +1 more source
An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA). [PDF]
Erra A +11 more
europepmc +1 more source
Development of a Deep Learning Model to Automatically Identify Palatal Landmarks on Three-Dimensional Maxillary Dental Casts. [PDF]
Giri J +6 more
europepmc +1 more source
TLS-grapevine2024: A terrestrial laser scanner point cloud dataset of grapevines at different phenological stages. [PDF]
Ferreira L +6 more
europepmc +1 more source
The truth tables as philosophy
Pese a su aparente simplicidad, el método tradicional de tablas de verdad presupone un gran número de tesis filosóficas sobre la lógica clásica, de tal manera que es posible cambiar alguna de sus características – por ejemplo, el número de renglones – rechazando alguna de dichas presuposiciones. Como ilustración, en este artículo muestro cómo,
openaire +1 more source
Accuracy of AI-Based Nutrient Estimation from Standardized Hospital Meal Images: A Comparison with Registered Dietitians. [PDF]
Isobe T +6 more
europepmc +1 more source

