Description |
1 online resource (xi, 178 pages) : illustrations (some color) |
Series |
Lecture notes in computer science, 1611-3349 ; 14313 |
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Lecture notes in computer science ; 14313. 1611-3349
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Contents |
Intro -- Preface -- Organization -- Contents -- Clinical Trial Histology Image Based End-to-End Biomarker Expression Levels Prediction and Visualization Using Constrained GANs -- 1 Introduction -- 2 Clinical Trial Data -- 3 Method -- 3.1 Whole Slide Image Registration -- 3.2 Image Tiling and Pre-processing -- 3.3 Activate Learning (AL) for Semantic Segmentation -- 3.4 Biomarker Expression Proportion Score (PS) -- 3.5 Constrained GAN for Virtual IHC Synthesis -- 4 Results and Discussion -- 4.1 Phase 1 Clinical Trial Dataset -- 4.2 Active Learning and PS Score Prediction |
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4.3 Constrained GAN Training and Testing -- 5 Conclusion and Future Work -- References -- More Than Meets the Eye: Physicians' Visual Attention in the Operating Room -- 1 Introduction -- 2 Related Work -- 2.1 Face Detection -- 2.2 Facial Landmarks -- 2.3 Spatiotemporal Gaze Architecture -- 2.4 Eye-Context Interaction Inferring Network -- 3 Materials -- 3.1 Benchmark Datasets -- 3.2 Our Datasets -- 4 Methods -- 4.1 Pipeline Construction -- 4.2 Implementation -- 5 Results -- 5.1 Ablation Study of the End-to-End Pipeline -- 5.2 Evaluation of the Proposed Framework on Our Datasets -- 6 Discussion |
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Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection -- 1 Introduction -- 2 Materials and Methods -- 2.1 Imaging Data -- 2.2 Ensembling Method -- 2.3 Evaluation -- 3 Results -- 4 Discussion and Conclusion -- References -- Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Dataset -- 3.2 Interaction Framework -- 3.3 Training Details and Evaluation Criteria -- 4 Results -- 5 Discussion -- 6 Future Work -- 7 Conclusion -- References |
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Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 PPGL-Transformer -- 2.3 Supervised Contrastive Learning of PPGL-Transformer -- 2.4 Implementation and Evaluation Details -- 3 Results -- 4 Discussion and Conclusion -- References -- Video-Based Gait Analysis for Assessing Alzheimer's Disease and Dementia with Lewy Bodies -- 1 Introduction and Related Work -- 2 Method -- 2.1 Our Patient Data -- 2.2 MAX-GRNet for 3D Pose Estimation |
Summary |
This book constitutes the refereed proceedings of the first International Workshop on Applications of Medical Artificial Intelligence, AMAI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada in October 2023. The book includes 17 papers which were carefully reviewed and selected from 26 full-length submissions. The AMAI 2023 workshop created a forum to bring together researchers, clinicians, domain experts, AI practitioners, industry representatives, and students to investigate and discuss various challenges and opportunities related to applications of medical AI |
Notes |
Includes author index |
Bibliography |
References -- CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis -- 1 Introduction -- 2 Methods -- 2.1 Data: Setting, Datasets and Preprocessing -- 2.2 Network Architectures, Training and Evaluation -- 3 Experimental Results and Discussion -- 4 Conclusions -- References -- Investigating the Impact of Image Quality on Endoscopic AI Model Performance -- 1 Introduction -- 2 Methods and Materials -- 2.1 Network Training -- 2.2 Experiments -- 2.3 Image Corruptions -- 2.4 Evaluation -- 3 Results -- 4 Conclusions and Future Work -- References |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed October 30, 2023) |
Subject |
Artificial intelligence -- Medical applications -- Congresses
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Artificial intelligence -- Medical applications.
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Genre/Form |
Conference papers and proceedings.
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Form |
Electronic book
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Author |
Wu, Shandong, editor
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Shabestari, Behrouz, editor
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Xing, Lei, editor.
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International Conference on Medical Image Computing and Computer-Assisted Intervention (26th : 2023 : Vancouver, B.C. ; Online)
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ISBN |
9783031470769 |
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3031470761 |
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