000			02767nam a22003015i 4500
001			402041
003			DE-He213
005			20240514120042.0
007			cr nn 008mamaa
008			240224s2024 si | o |||| 0|eng d
020			_a9789819708550
024	7		_a10.1007/978-981-97-0855-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 _b2024 EB
245	0	0	_aProceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023) _cedited by Peng You, Shuaiqi Liu, Jun Wang
250			_a1st ed. 2024.
264		1	_aSingapore _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aLecture Notes in Electrical Engineering _x1876-1119 _v1163
505	0		_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.
520			_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.
942			_2lcc _cLE
988			_aSpringer_Engineering_2024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-97-0855-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999			_c402041 _d402041