In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...
Abstract: This paper presents a Pseudo-Multi-Task Segmentation Neural Network (PMTNet) for cropland mapping in mountainous regions using high-resolution remote sensing images. PMTNet extends BsiNet by ...
ABSTRACT: Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT ...
Artificial intelligence systems demonstrate strong diagnostic and planning performance in neuro-oncologic radiotherapy, though approximately one-quarter of AI-generated plans require manual clinician ...
This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
Practicing these pushing and pulling exercises can make daily movements feel more comfortable. Practicing these pushing and pulling exercises can make daily movements feel more comfortable. Credit ...
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