03849nam a22005895i 4500 978-981-97-0855-0 DE-He213 20251030111442.0 cr nn 008mamaa 240224s2024 si | s |||| 0|eng d 9789819708550 978-981-97-0855-0 10.1007/978-981-97-0855-0 doi TK5102.9 TJF bicssc UYS bicssc TEC067000 bisacsh TJF thema UYS thema Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023) [electronic resource] / edited by Peng You, Shuaiqi Liu, Jun Wang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XV, 770 p. 382 illus., 308 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 1163 High 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. This 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. Signal processing. Image processing. Machine learning. 55059 Signal, Speech and Image Processing. Image Processing. Machine Learning. 55059 You, Peng. editor. edt http://id.loc.gov/vocabulary/relators/edt 71682 Liu, Shuaiqi. editor. edt http://id.loc.gov/vocabulary/relators/edt 71683 Wang, Jun. editor. edt http://id.loc.gov/vocabulary/relators/edt 71684 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819708543 Printed edition: 9789819708567 Printed edition: 9789819708574 Lecture Notes in Electrical Engineering, 1876-1119 ; 1163 https://doi.org/10.1007/978-981-97-0855-0 ZDB-2-ENG ZDB-2-SXE 57856 57856