Fast And Low Resource Semi Supervised Abdominal Organ Segmentation
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Fast And Low Resource Semi Supervised Abdominal Organ Segmentation
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Author : Jun Ma
language : en
Publisher: Springer Nature
Release Date : 2023-01-20
Fast And Low Resource Semi Supervised Abdominal Organ Segmentation written by Jun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022. The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.
Fast Low Resource And Accurate Organ And Pan Cancer Segmentation In Abdomen Ct
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Author : Jun Ma
language : en
Publisher: Springer Nature
Release Date : 2024-07-01
Fast Low Resource And Accurate Organ And Pan Cancer Segmentation In Abdomen Ct written by Jun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-01 with Computers categories.
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 selected from 37 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.
Fast Low Resource Accurate Robust Organ And Pan Cancer Segmentation
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Author : Jun Ma
language : en
Publisher: Springer Nature
Release Date : 2025-07-09
Fast Low Resource Accurate Robust Organ And Pan Cancer Segmentation written by Jun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
This book constitutes the proceedings of the MICCAI 2024 Challenge, FLARE 2024, held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 20 full papers included in this book were carefully reviewed and selected from 24 submissions. They describe the solutions the participants found for automatic abdominal organ and pan-cancer segmentation using the official training dataset released for this pupose. This challenge focuses on both organ and pan-cancer segmentation, including three subtasks: Subtask 1: Pan-cancer segmentation in CT scans Subtask 2: Abdominal CT organ segmentation on laptop Subtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans
Supervised And Semi Supervised Multi Structure Segmentation And Landmark Detection In Dental Data
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Author : Yaqi Wang
language : en
Publisher: Springer Nature
Release Date :
Supervised And Semi Supervised Multi Structure Segmentation And Landmark Detection In Dental Data written by Yaqi Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Semi Supervised Tooth Segmentation
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Author : Yaqi Wang
language : en
Publisher: Springer Nature
Release Date : 2024-10-18
Semi Supervised Tooth Segmentation written by Yaqi Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Computers categories.
This book constitutes the proceedings of the First MICCAI 2023 Challenge on Semi-supervised Tooth Segmentation, SemiToothSeg 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023. The 16 full papers presented in this book were carefully reviewed and selected from 64 submissions. The papers were written by participants in the STS challenge to describe their solutions for automatic teeth segmentation using the offcial training dataset released for this purpose. In general, this challenge aims to promote the development of the teeth segmentation in panoramic X-ray images and dental CBCT scans.
Advanced Intelligent Computing Technology And Applications
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Author : De-Shuang Huang
language : en
Publisher: Springer Nature
Release Date : 2025-07-23
Advanced Intelligent Computing Technology And Applications written by De-Shuang Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 1206 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology.
Medical Image Segmentation Foundation Models Cvpr 2024 Challenge Segment Anything In Medical Images On Laptop
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Author : Jun Ma
language : en
Publisher: Springer Nature
Release Date : 2025-02-18
Medical Image Segmentation Foundation Models Cvpr 2024 Challenge Segment Anything In Medical Images On Laptop written by Jun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.
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 thoroughly reviewed and selected from the 200 submissions. This challenge aims to prompt the development of universal promotable medical image segmentation foundation models that are deployable on laptops or other edge devices without reliance on GPUs.
Advances In Artificial Intelligence
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Author : Kunal Pal
language : en
Publisher: Elsevier
Release Date : 2024-05-21
Advances In Artificial Intelligence written by Kunal Pal and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-21 with Science categories.
Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. - Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used - Provides an understanding of the design of experiments to validate the developed algorithms - Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques
Semi Supervised Multimodality Organ Segmentation For Unlabeled Data
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Author :
language : en
Publisher:
Release Date : 2023
Semi Supervised Multimodality Organ Segmentation For Unlabeled Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.