Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023) [electronic resource] / edited by Peng You, Shuaiqi Liu, Jun Wang.

Colaborador(es): You, Peng [editor.] | Liu, Shuaiqi [editor.] | Wang, Jun [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Electrical Engineering ; 1163Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XV, 770 p. 382 illus., 308 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819708550Tema(s): Signal processing | Image processing | Machine learning | Signal, Speech and Image Processing | Image Processing | Machine LearningFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5102.9Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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