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[null,"1.","Record Nr.",null,"UNISA996534463903316"]
[null,null,"Autore",null,"Sheng Bin"]
[null,null,"Titolo",null,"Mitosis Domain Generalization and Diabetic Retinopathy Analysis [[electronic resource] ] : MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings / / edited by Bin Sheng, Marc Aubreville"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-33658-5"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (250 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 13597"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Image processing—Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Computing Milieux"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Preface DRAC 2022 -- nnU-Net Pre- and Postprocessing Strategies for UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis -- Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias -- Bag of Tricks for Diabetic Retinopathy Grading of Ultra-wide Optical Coherence Tomography Angiography Images -- Deep convolutional neural network for image quality assessment and diabetic retinopathy grading -- Diabetic Retinal Overlap Lesion Segmentation Network -- An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images -- Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity -- Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images -- Deep Learning-based Multi-tasking System for Diabetic Retinopathy in UW-OCTA images -- Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic "]
[{"$nulls":4},"Retinopathy Grade Assessment -- Image Quality Assessment based on Multi-Model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images -- An improved U-Net for diabetic retinopathy segmentation -- A Vision transformer based deep learning architecture for automatic diagnosis of diabetic retinopathy in optical coherence tomography angiography -- Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy -- Data Augmentation by Fourier Transformation for Class-Imbalance : Application to Medical Image Quality Assessment -- Automatic image quality assessment and DR grading method based on convolutional neural network -- A transfer learning based model ensemble method for image quality assessment and diabetic retinopathy grading -- Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA Images using Transfer Learning -- Preface MIDOG 2022 -- Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge -- Radial Prediction Domain Adaption Classifier for the MIDOG 2022 challenge -- Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge -- Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization -- \"A Deep Learning based Ensemble Model for Generalized Mitosis Detection in H&E stained Whole Slide Images\" -- Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset -- Multi-task RetinaNet for mitosis detection. ."]
[null,null,null,"Sommario/riassunto","This book constitutes two challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore during September 18-22, 2022. The peer-reviewed 20 long and 5 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2022), Diabetic Retinopathy Analysis Challenge (CRAC 2022) The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications."]
[null,"2.","Record Nr.",null,"UNINA9910784036203321"]
[null,null,"Autore",null,"Nystuen Gro"]
[null,null,"Titolo",null,"Achieving Peace or Protecting Human Rights? : Conflicts between Norms Regarding Ethnic Discrimination in the Dayton Peace Agreement / / Gro Nystuen"]
[null,null,"Pubbl/distr/stampa",null,"Leiden; ; Boston : , : Brill | Nijhoff, , 2005"]
[null,null,"ISBN",null,"1-280-86867-8"]
[{"$nulls":4},"9786610868674"]
[{"$nulls":4},"1-4294-2717-5"]
[{"$nulls":4},"90-474-0829-2"]
[{"$nulls":4},"1-4337-0455-2"]
[null,null,"Descrizione fisica",null,"1 online resource (310 p.)"]
[null,null,"Collana",null,"The Raoul Wallenberg Institute Human Rights Library ; ; 23"]
[null,null,"Disciplina",null,"341.4/8"]
[null,null,"Soggetti",null,"Discrimination - Law and legislation - Former Yugoslav republics"]
[{"$nulls":4},"Human rights - Former Yugoslav republics"]
[{"$nulls":4},"Yugoslav War, 1991-1995 - Peace"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Originally presented as the author's thesis (doctoral)--University of Oslo, 2004."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"ACKNOWLEDGEMENTS -- CHAPTER 1. INTRODUCTION -- CHAPTER 2. METHODOLOGY -- CHAPTER 3. THE DAYTON PEACE AGREEMENT - BACKGROUND AND OVERVIEW -- CHAPTER 4. THE GENERAL FRAMEWORK AGREEMENT FOR PEACE IN BOSNIA AND HERZEGOVINA -- CHAPTER 5. PROTECTION AGAINST ETHNIC DISCRIMINATION IN BOSNIA AND HERZEGOVINA -- CHAPTER 6. ETHNIC DIFFERENTIATION RULES IN THE BH CONSTITUTION -- CHAPTER 7. THE SCOPE OF CONFLICT BETWEEN THE NON-DISCRIMINATION RULES AND THE -- RULES AUTHORISING ETHNIC DIFFERENTIATION -- CHAPTER 8. POSSIBLE JUSTIFICATIONS FOR ETHNIC DIFFERENTIATION IN EMERGENCIES -- CHAPTER 9. POSSIBLE WAYS OF ADDRESSING ETHNIC DIFFERENTIATION -- CHAPTER 10.; CONCLUDING REMARKS -- BIBLIOGRAPHY -- TABLE OF CASES -- ANNEX I -- ANNEX II -- INDEX."]
[null,null,null,"Sommario/riassunto","\"Achieving peace or protecting human rights? Conflicts between norms regarding ethnic discrimination in the Dayton Peace Agreement\" examines some of the legal issues pertaining to international settlements aiming at ending a war, finding political common ground between bitter enemies, and at the same time, protecting individual "]
[{"$nulls":4},"human rights. The author examines the Dayton Peace Agreement for Bosnia and Herzegovina, and in particular the constitutional framework which on the one hand secures everyone's human rights and protection from ethnic discrimination, but on the other hand sets up a political system which in fact discriminates on the basis of ethnicity. The author argues that it might have been consistent with international law (particularly the legal regimes of derogation and necessity) to agree on such a constitutional system at the time of the Dayton negotiations because the alternative was a high risk of continued war, but that a constitutional arrangement with clear human rights deficiencies should have been made temporary. The author points out that the ethnically-based constitutional system, for the time being, seems to prevail at the expense of the right to non-discrimination, and discusses various possibilities of altering this situation."]