Download or read book Data Augmentation Labelling and Imperfections written by Yuan Xue and published by Springer Nature. This book was released on with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Augmentation Labelling and Imperfections written by Hien V. Nguyen and published by Springer Nature. This book was released on 2022-09-21 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.
Download or read book Data Augmentation Labelling and Imperfections written by Yuan Xue and published by Springer. This book was released on 2024-06-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This LNCS conference volume constitutes the proceedings of the 3rd International Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions. The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
Download or read book Deep Generative Models and Data Augmentation Labelling and Imperfections written by Sandy Engelhardt and published by Springer Nature. This book was released on 2021-09-29 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community. For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorous study of medical data related to machine learning systems.
Download or read book Medical Image Learning with Limited and Noisy Data written by Zhiyun Xue and published by Springer Nature. This book was released on 2023-11-08 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2024 written by Marius George Linguraru and published by Springer Nature. This book was released on with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2023 written by Hayit Greenspan and published by Springer Nature. This book was released on 2023-09-30 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Download or read book Foundation Models for General Medical AI written by Zhongying Deng and published by Springer Nature. This book was released on with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Medical Imaging and Computer Aided Diagnosis written by Ruidan Su and published by Springer Nature. This book was released on 2024-01-20 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.
Download or read book Uncertainty for Safe Utilization of Machine Learning in Medical Imaging written by Carole H. Sudre and published by Springer Nature. This book was released on with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Smart Healthcare Paradigms and Applications written by Halina Kwaśnicka and published by Springer Nature. This book was released on 2023-08-16 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to showcase research and innovation in smart healthcare systems and technologies led by women scientists, researchers, and practitioners. With the advent of artificial intelligence (AI) and related technologies, the healthcare sector has undergone tremendous changes in practice and management in recent years. On par to men, women have made significant contributions to tackle a variety of healthcare problems, creating smarter paradigms to provide effective and efficient solutions for patients and stakeholders. The book presents a small collection of contributions by outstanding women in STEM (Science, Technology, Engineering and Mathematics) education, focusing on the healthcare domain. The selected articles allow readers to comprehend current advances in AI and other methods for undertaking healthcare challenges. It is envisaged that the inspiring work by prominent women scientists, researchers, and practitioners reported in this book offers a beacon to propel women in pursuing STEM education and advancing the healthcare sector for the benefits of humankind.
Download or read book HEALTH SCIENCE 2023 II written by Fazlı YANIK and published by Efe Akademi Yayınları. This book was released on 2023-06-22 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: CONTENTS CLINICAL VARIANT INTERPRETATION IN GENETICS - Mustafa Tarık ALAY INVESTIGATION OF EPIGENETICS AND GENETIC BIOMARKERS IN CANCER DIAGNOSIS: LIQUID BIOPSY - Elif ERTÜRK IMMUNOTHERAPY IN CANCER TREATMENT - Hayrani Eren BOSTANCI, Faruk Kaan ÇELİK, İnci TEMUR CHRONIC VENOUS INSUFFICIENCY AND PHYSIOTHERAPY - Sıla ÇELİK, Ömer ŞEVGİN CURRENT DIAGNOSTIC METHODS IN CORONARY ARTERY DISEASES - Ayşegül DURMAZ, Şadan YAVUZ LUMBAR TRANSFORAMINAL EPIDURAL STEROID INJECTIONS - Ahmet Tolgay AKINCI CATARACT TYPES AND CURRENT TREATMENT APPROACHES - Göksu ALAÇAMLI THE IMPORTANCE OF THE ANATOMICAL STRUCTURE OF MAXILLARY SINUS IN ORAL AND MAXILLOFACIAL SURGERY: A REVIEW OF THE LITERATURE - Raha AKBARİHAMED, Hacer EBERLİKÖSE, Arif Yiğit GÜLER CLOSED RHINOPLASTY - Ahmet KÖDER CLAVICLE FRACTURES: CURRENT CONCEPTS - Eşref SELÇUK, Cihan ÜNYILMAZ PEDIATRIC SUPRACONYLAR HUMERUS FRACTURES - Doğukan ERKAL, Murat EREM NON-PROSTHETIC TREATMENT OPTIONS FOR JOINT CARTILAGE INJURIES - Erdem ÖZDEN PERSONALIZED MEDICAL GRAFT AND GRAFT MOLDING SUPPORTED BY ARTIFİCIAL INTELLIGENCE - BAŞAK ÇAKMAK, GIRAY ÖTKEN, AHMET TOLGAY AKINCI DRUG DISCOVERY WITH COMPUTER AIDED DRUG DESIGN METHODS - Okan AYKAÇ, Burçin TÜRKMENOĞLU
Download or read book Collaborative Computing Networking Applications and Worksharing written by Honghao Gao and published by Springer Nature. This book was released on 2023-01-24 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNICST 460 and 461 constitutes the proceedings of the 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022. The 57 full papers presented in the proceedings were carefully reviewed and selected from 171 submissions. The papers are organized in the following topical sections: Recommendation System; Federated Learning and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition.
Download or read book Quantitative imaging QI and artificial intelligence AI in cardiovascular diseases written by Sebastian Kelle and published by Frontiers Media SA. This book was released on 2023-05-17 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Analysis written by Rikke Gade and published by Springer Nature. This book was released on 2023-04-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023. The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems.
Download or read book Automatic methods for multiple sclerosis new lesions detection and segmentation written by Olivier Commowick and published by Frontiers Media SA. This book was released on 2023-04-11 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Learning from Imperfect Data Noisy Labels Truncation and Coarsening written by Vasilis Kontonis (Ph.D.) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The datasets used in machine learning and statistics are \emph{huge} and often \emph{imperfect},\textit{e.g.}, they contain corrupted data, examples with wrong labels, or hidden biases. Most existing approaches (i) produce unreliable results when the datasets are corrupted, (ii) are computationally inefficient, or (iii) come without any theoretical/provable performance guarantees. In this thesis, we \emph{design learning algorithms} that are \textbf{computationally efficient} and at the same time \textbf{provably reliable}, even when used on imperfect datasets. We first focus on supervised learning settings with noisy labels. We present efficient and optimal learners under the semi-random noise models of Massart and Tsybakov -- where the true label of each example is flipped with probability at most 50\% -- and an efficient approximate learner under adversarial label noise -- where a small but arbitrary fraction of labels is flipped -- under structured feature distributions. Apart from classification, we extend our results to noisy label-ranking. In truncated statistics, the learner does not observe a representative set of samples from the whole population, but only truncated samples, \textit{i.e.}, samples from a potentially small subset of the support of the population distribution. We give the first efficient algorithms for learning Gaussian distributions with unknown truncation sets and initiate the study of non-parametric truncated statistics. Closely related to truncation is \emph{data coarsening}, where instead of observing the class of an example, the learner receives a set of potential classes, one of which is guaranteed to be the correct class. We initiate the theoretical study of the problem, and present the first efficient learning algorithms for learning from coarse data.
