03662nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172072001600185072001600201072002300217072001500240072001500255245017300270250001800443264007200461300006600533336002600599337002600625338003600651347002400687490006400711505097200775520064401747650002302391650002202414650002902436650004102465650002202506650002902528700007902557700008202636700007902718710003402797773002602831776003602857776003602893776003602929830006402965856004603029912001403075912001403089999001703103978-981-97-0855-0DE-He21320251030111442.0cr nn 008mamaa240224s2024    si |    s    |||| 0|eng d  a97898197085509978-981-97-0855-07 a10.1007/978-981-97-0855-02doi 4aTK5102.9 7aTJF2bicssc 7aUYS2bicssc 7aTEC0670002bisacsh 7aTJF2thema 7aUYS2thema10aProceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023)h[electronic resource] /cedited by Peng You, Shuaiqi Liu, Jun Wang.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXV, 770 p. 382 illus., 308 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Electrical Engineering,x1876-1119 ;v11630 aHigh Order Conditional Random Field based Cervical Cancer Histopathological Image Classification -- Skin Cancer Image Identification Using Deep Convolutional Neural Networks -- Deep Learning-based Prediction of Myelosuppression in Lymphoma Patients during Chemotherapy Using Multimodal Radiological Images with Subcutaneous Adipose Tissue -- Retrievable Image Encryption Based on Adaptive Block Compressed Sensing -- Research on Prostate Cancer Pathological Image Classification Method based on Vision Transformer -- Multi-Disease Detection and Segmentation of Chest CT Images Based on Coarse-to-Fine Pipeline Models -- Dual Branch Image-guided Network with Multi-stage Iterative Refinement for Depth Completion -- CT images super-resolution reconstruction Using Bi-Level Routing Attention and Consecutive Dilated Convolutions -- ASPCD-UNet: An improved network for change detection -- SE-UNet: Channel Attention based UNet for Water body Segmentation from SAR Image.  aThis book constitutes the refereed proceedings of ICIVIS2023, held in Baoding, China, in August 2023. The papers included in the proceedings have been carefully reviewed and selected from the submitted manuscripts in the areas of image, vision and intelligent systems. This book provides a reference for theoretical innovative problems as well as recent practical solutions and applications for the state-of-the-art results in image, vision and intelligent systems. The intended audience of the book includes researchers, professors, experts, practitioners and professionals in the field of image, vision and intelligent systems worldwide. 0aSignal processing. 0aImage processing. 0aMachine learning.95505914aSignal, Speech and Image Processing.24aImage Processing.24aMachine Learning.9550591 aYou, Peng.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9716821 aLiu, Shuaiqi.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9716831 aWang, Jun.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9716842 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981970854308iPrinted edition:z978981970856708iPrinted edition:z9789819708574 0aLecture Notes in Electrical Engineering,x1876-1119 ;v116340uhttps://doi.org/10.1007/978-981-97-0855-0  aZDB-2-ENG  aZDB-2-SXE  c57856d57856