Impacts of pruning and quantization on the model performances.

<p>Impacts of pruning and quantization on the model performances.</p>

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Bibliografski detalji
Glavni autor:	Mehmet Zahid Genc (22683526) (author)
Daljnji autori:	Yaser Dalveren (22683529) (author), Ali Kara (690960) (author), Mohammad Derawi (22683532) (author), Jan Kubicek (170285) (author), Marek Penhaker (13014797) (author)
Izdano:	2025
Teme:	Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified training compression techniques targeted architectural optimizations reliable imaging modalities promising results achieved neighborhood convolutional network model &# 8217 limited processing capabilities depthwise separable convolution high segmentation accuracy 3d organ segmentation routine clinical workflows memory demands make net builds upon entirely new architecture comparative analysis verified comparative analysis manual segmentation memory usage clinical deployment viable alternative time applications recent years purpose due ongoing efforts net variant net framework less suitable inference speed including upernet highly suitable first time findings contribute explore post edge devices constrained environments computed tomography 2d convolutions
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