Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
Imagine having an on-call research assistant that can analyze mountains of work and web data to give you insightful expertise in minutes, whether you’re preparing for a big meeting, brainstorming new ...
Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
Abstract: Neural network-based decoding methods show promise in enhancing error correction performance but face challenges with punctured codes. In particular ...
Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.
Abstract: Sleep spindles, which are key biomarkers of non-rapid eye movement stage 2 sleep, play a crucial role in predicting outcomes for patients with acute disorders of consciousness (ADOC).
CNN data analyst Harry Enten is offering a rough outlook for Democrats as the midterm season approaches. Recent polling, he says, shows Republicans holding a surprisingly steady edge on the issues ...
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