Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023)

Peng You, Shuaiqi Liu, Jun Wang (Herausgeber)

Buch | Softcover

770 Seiten

2025
Springer Nature (Verlag)
978-981-97-0857-4 (ISBN)

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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.

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.

Erscheinungsdatum	04.04.2025
Reihe/Serie	Lecture Notes in Electrical Engineering
Zusatzinfo	308 Illustrations, color; 74 Illustrations, black and white; XV, 770 p. 382 illus., 308 illus. in color.
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	computer vision • Image Processing • machine learning • pattern recognition • Signal Processing
ISBN-10	981-97-0857-5 / 9819708575
ISBN-13	978-981-97-0857-4 / 9789819708574
Zustand	Neuware