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[null,"1.","Record Nr.",null,"UNISA996390412603316"]
[null,null,"Titolo",null,"The last vvill and testament of the Marquis d'Ancre [[electronic resource] ] : Together with his araignment. His obsequies. His wifes teares on his death. The re-union of the King with his men of warre. The rousing of the soldat françois. All declaring the diuine iudgement of God on the death of the said Marshall d'Ancre. Out of the French copies printed at Paris and Roan"]
[null,null,"Pubbl/distr/stampa",null,"London, : Printed by Felix Kyngston for William Arondell, at the Angell in Pauls Church-yard, 1617"]
[null,null,"Descrizione fisica",null,"[2], 8, [2], 7 [i.e. 8], [2], 8, [4], 5, [3], 6, [2], 5, [3] p"]
[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","Not in fact by the Marquess d'Ancre, but an attack on him."]
[{"$nulls":4},"A translation of: Le testament et dernière volonté de sieur Conchini de Conchino."]
[{"$nulls":4},"Signatures: A-G⁴ H²  (-H2)."]
[{"$nulls":4},"Contents: general title page followed by (1:) \"The diuine iudgement of God in the death of the Marquis d'Ancre\" (caption title), 8 p.; (2:) \"The last vvill and testament of Sr. Conchini de Conchino\", [2], 7 [i.e. 8] p. (p. 8 misnumbered 7); (3:) \"The arraignment of the Marques d'Ancre\", [2], 8, [2] p. (last leaf blank); (4:) \"The funerall obsequies and buriall of Conchini Marshall d'Ancre\", [2], 5, [1] p.; (5:) \"The teares of the Marshall d'Ancres wife, shed for the death of her husband\", [2], 6 p.; (6:) \"The rousing of the soldat francois\", [2], 5, [1] p.; (7:) The reunion of the King with his men of war, [2] p., with text commencing \"The same day the Marquesse d'Ancre was slaine ..\". Sections 2-6 each have separate dated title page and pagination; register is continuous."]
[{"$nulls":4},"Parts 3,4, and 5 identified as STC 5616, 5619, and 5623 on UMI microfilm."]
[{"$nulls":4},"Reproduction of the original in the British Library."]
[null,null,null,"Sommario/riassunto","eebo-0018"]
[null,"2.","Record Nr.",null,"UNISA996587859203316"]
[null,null,"Autore",null,"Sheng Bin"]
[null,null,"Titolo",null,"Myopic Maculopathy Analysis : MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8-12, 2023, Proceedings"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer, , 2024"]
[{"$nulls":4},"©2024"]
[null,null,"ISBN",null,"3-031-54857-4"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (131 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science Series ; ; v.14563"]
[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,"Intro -- Preface -- Organization -- Contents -- Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Task 1: Classification of Myopic Maculopathy -- 2.3 Task 2: Segmentation of Myopic Maculopathy Plus Lesions -- 2.4 Task 3: Prediction of Spherical Equivalent -- 2.5 Implementation Details -- 3 Results -- 3.1 Task 1: Classification of Myopic Maculopathy -- 3.2 Task 2: Segmentation of Myopic Maculopathy Plus Lesions -- 3.3 Task 3: Prediction of Spherical Equivalent -- 4 Discussion and Conclusions -- References -- Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images -- 1 Introduction -- 2 Method -- 2.1 Enhanced ArcFace Loss with 3 Sub-centers -- 2.2 Weak Label -- 3 Experiments -- 3.1 Dataset and Evaluation Measures -- 3.2 Image Preprocessing and Augmentation -- 3.3 Implementation Details -- 4 Results and Discussion -- 4.1 Results on Testing Set -- 4.2 Visualization Heatmap Analysis -- 4.3 Ablation Study in Further Test Phase -- 4.4 Limitation and Future Work -- 5 Conclusion -- References -- Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pre-training -- 3.2 Network Architecture -- 3.3 Pseudo Labeling -- 3.4 Image Resolution -- 3.5 Loss Function -- 3.6 Model Ensemble -- 4 Experiment -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Evaluation Metrics -- 4.4 Results on the Validation Set -- 4.5 Results on the MMAC Leaderboard -- 5 Conclusion -- References -- Ensemble "]
[{"$nulls":4},"Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Network Architecture -- 3.2 Loss Function -- 3.3 Model Ensemble -- 4 Experiments."]
[{"$nulls":4},"4.1 Dataset -- 4.2 Implementation Details -- 4.3 Evaluation Metrics -- 4.4 Results on the Validation Set -- 4.5 Results on the Leaderboard -- 4.6 Visual Segmentation Results -- 5 Conclusion -- References -- Beyond MobileNet: An Improved MobileNet for Retinal Diseases -- 1 Introduction -- 2 Related Work -- 2.1 CNN-Based Method for RD Diagnosis -- 2.2 VIT-Based Method for RD Diagnosis -- 3 Methods -- 3.1 Network Design -- 3.2 Training Techniques -- 4 MMAC - Classification of Myopic Maculopathy -- 4.1 Dataset and Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Experimental Results -- 5 Conclusion -- References -- Prediction of Spherical Equivalent with Vanilla ResNet -- 1 Introduction -- 2 Related Works -- 3 Methods -- 4 Results -- 5 Discussion: The Significance of Proper Data Augmentation -- 6 Conclusion -- References -- Semi-supervised Learning for Myopic Maculopathy Analysis -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Segmentation of Myopic Maculopathy Plus Lesions -- 5 Prediction of Spherical Equivalent -- 6 Conclusions -- References -- A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification -- 1 Introduction -- 2 Methods -- 2.1 Datasets and Pre-processing -- 2.2 Image Synthesis Pipeline Guided by Clinical Domain Knowledge -- 2.3 Mix-Up Augmentation -- 2.4 Evaluation Metrics -- 2.5 Training Details -- 2.6 Ensemble Prediction via Test-Time Augmentation -- 3 Results -- 4 Conclusions and Future Directions -- References -- Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning in Myopic Maculopathy Analysis -- 2.2 Multiple Instance Learning -- 2.3 Self-supervised Learning -- 3 Methodology -- 3.1 Generative Data Augmentation -- 3.2 Backbone Architecture -- 4 Experiments."]
[{"$nulls":4},"4.1 Datasets and Implementation -- 4.2 Results -- 5 Conclusion -- References -- Self-supervised Learning and Data Diversity Based Prediction of Spherical Equivalent -- 1 Introduction -- 2 Our Solution -- 2.1 Baseline -- 2.2 Self-supervised Learning -- 2.3 Increase Data Diversity -- 2.4 Part of Data -- 2.5 Test-Time Augmentation -- 3 Experiment -- 3.1 Implement Details -- 3.2 Experiment Results -- 4 Conclusion -- References -- Myopic Maculopathy Analysis Using Multi-task Learning and Pseudo Labeling -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Multi-task Learning -- 3.2 Pseudo-labeling -- 4 Results -- 5 Conclusion -- References -- Author Index."]