Sergio Pereira – författare

This short cut provides a complete quick reference to the Prototype JavaScript framework. Prototype is an open-source library that is particularly useful to developers of dynamic Ajax applications, and to other web developers who need to work with DOM elements.

If you''re a web developer building sophisticated, user-friendly applications, you should be using Prototype. This reference gives you everything you need to use Prototype to its fullest.

This document covers Prototype 1.4. There will be a free upgrade to the Prototype 1.5 version of this document.

This short cut provides a complete quick reference to the Prototype JavaScript framework. Prototype is an open-source library that is particularly useful to developers of dynamic Ajax applications, and to other web developers who need to work with DOM elements.

If you''re a web developer building sophisticated, user-friendly applications, you should be using Prototype. This reference gives you everything you need to use Prototype to its fullest.

This document covers Prototype 1.4. There will be a free upgrade to the Prototype 1.5 version of this document.

This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.

The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimer''s disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identifythe main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis.  

This LNCS conference volume constitutes the proceedings of the MICCAI Workshop GRAIL 2023 and MICCAI Challenge OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023. The 9 full papers (GRAIL 2023) and 6 full papers (OCELOT  2023) included in this volume were carefully reviewed and selected from GRAIL 14 (GRAIL 2023) and 6 (OCELOT 2023) submissions.

The conference GRAIL 2023 a wide set of methods and application and OCELOT 2023 focuses on the cover a wide range of methods utilizing tissue information for better cell detection, in the sense of training strategy, model architecture, and especially how to model cell-tissue relationships.