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Their ability to point out the perceived fracture location makes object detection and segmentation results easily relatable to the radiologist and arguably more impactful for clinical work, whereas ...
A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.
Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with ...
The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings. The model reduces the need for invasive procedures by using a single ...
WWW 2018. RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning. Venkatesh Elango and Karan Uppal. SemEval-2018 (at NAACL-HLT 2018). Key2Vec: Automated Ranked Keyphrase ...
3D motion detection uses radar to detect the distance of an object for improved accuracy and fewer false alerts compared with the standard camera. This technology also powers a bird’s eye aerial ...
This study aims to understand the spatial distribution of marine litter along the central east coast of India using the conventional method and AI based object detection approach ... For the machine ...
ASKAP J1832-0911, which is periodically throwing out pulses of radio waves and X-rays, could be a brand-new cosmic object.
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