Less-supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main app...Loe edasi...
This book emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. It presents a detailed evaluation, such as choosing the threshold function, need for the heuristic algorithm, choice of...Loe edasi...
This Open Access book constitutes the refereed proceedings of the First MICCAI Challenge, HNTSMRG 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 17, 2024.The 20 full papers and 1 overview paper included in thi...Loe edasi...
This open access LNCS volume 15515 constitutes the refereed proceedings of the First MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, LISA 2024, Held in Conjunction with MICCAI 2024, in Mar...Loe edasi...
This LNCS conference set constitutes the proceedings of the First Medical Image Segmentation Challenge, MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, in Seattle, WA, USA, held in June 2024.The 16 full papers presented were thor...Loe edasi...
This book constitutes the proceedings of the MICCAI 2023 Challenge, FLARE 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023.The 27 full papers presented in this book were carefully reviewed and selecte...Loe edasi...
High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techn...Loe edasi...
(Ilmumisaeg: 27-Oct-2022, Hardback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119859000)
Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions...Loe edasi...
Summarises two decades of research in the field of semantic image segmentation (SiS), where a literature review of solutions starting from early historical methods is proposed, followed by an overview of more recent deep learning methods, including...Loe edasi...
Investigates both traditional and modern object segmentation approaches, comparing their strengths, weaknesses, and utilities. The main focus is on the deep learning-based techniques for the two most widely solved segmentation tasks: Semantic Segmen...Loe edasi...
This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online f...Loe edasi...
Choosing appropriate thresholding based on the existing image (Grayscale/RGB) and the assigned task is essential to attain better result and the complexity of the image thresholding is largely reduced with the help of a chosen heuristic algorithm te...Loe edasi...
This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online f...Loe edasi...
(Ilmumisaeg: 09-Aug-2019, Hardback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119488750)
Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the q...Loe edasi...
(Ilmumisaeg: 07-Jun-2019, Other digital carrier, Kirjastus: Wiley-Blackwell, ISBN-13: 9781119488767)
Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the q...Loe edasi...
Siddhartha Bhattacharyya, Paramartha Dutta, Sourav De, Goran Klepac
(Ilmumisaeg: 18-Nov-2016, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783319472225)
This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main app...Loe edasi...
This book presents the main concepts in handling digital images of mixed content, traditionally referenced as mixed raster content (MRC), in two main parts. The first includes introductory chapters covering the scientific and technical background...Loe edasi...
