moribund
发表于 2025-3-25 04:02:42
Classification of Chest Diseases Using Deep Learning, as object recognition, detection and segmentation over approaches based on obtaining the characteristics of the image by hand [.]. This article presents a novel method for the classification of chest diseases in the standard and widely used data set ChestX-ray8, which contains more than 100,000 front view images with 8 diseases.
certain
发表于 2025-3-25 10:30:23
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braggadocio
发表于 2025-3-25 15:04:10
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emulsify
发表于 2025-3-25 19:19:28
https://doi.org/10.1007/978-3-031-68819-5cy) in order to assess the confidence in the value of a feature, and to select the values that are most plausible. We show that it enables to handle various difficult situations (attacks, failures, etc.), by maintaining a coherent scene at any time despite possibly major defects.
休闲
发表于 2025-3-25 22:53:33
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intoxicate
发表于 2025-3-26 00:53:48
Erik Gawel,Sebastian Strunz,Alexandra Purkus derived from the parallel execution of both algorithms, calculating the average of 20 repetitions on a small architecture of 6 physical cores and 12 ones with multi-threading, show that accelerations of up to 21 times can be achieved with NFL and up to 13 times with RNFLS.
chronology
发表于 2025-3-26 05:33:44
Albert Hoffrichter,Thorsten Beckersataset. For the semantic segmentation method, we used a model called DeepLabv3+. The effectiveness of our experiment is confirmed by computer simulations showing the segmentation result of test images from four-scene comics.
影响
发表于 2025-3-26 09:02:12
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女歌星
发表于 2025-3-26 14:21:46
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Emg827
发表于 2025-3-26 20:39:00
Analysis of Partial Semantic Segmentation for Images of Four-Scene Comics,ataset. For the semantic segmentation method, we used a model called DeepLabv3+. The effectiveness of our experiment is confirmed by computer simulations showing the segmentation result of test images from four-scene comics.