標題: Titlebook: Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales fo; 1st International Wo John S. H. Baxte [打印本頁] 作者: affidavit 時間: 2025-3-21 16:38
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書目名稱Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales fo讀者反饋學科排名
作者: defile 時間: 2025-3-22 00:05 作者: 干涉 時間: 2025-3-22 01:33
Disproportionate Subgroup Impacts and?Other Challenges of?Fairness in?Artificial Intelligence for?Meing classification performance disparities between White and Black subgroups, accuracies for the highest performing subgroups were substantially degraded and disproportionate impacts on performance were seen when considering intersections of sex, race, and socioeconomic status. These results highlig作者: 控訴 時間: 2025-3-22 05:06
Visually Aware Metadata-Guided Supervision for?Improved Skin Lesion Classification Using Deep Learnitial but challenging task. Our proposed approach has been evaluated over multimodel data, i.e., clinical and dermoscopic images, using two publicly available datasets named PAD-UFES-20 and ISIC-2019. During experimentation, our approach surpasses the available state-of-the-art techniques over five c作者: Abbreviate 時間: 2025-3-22 08:44 作者: heterodox 時間: 2025-3-22 15:59
Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networksop a classification model to predict UIAs that will grow or remain stable. The model consisted of a mesh convolutional neural network including additional novel input edge features of shape index and curvedness which describe the surface topology. It was investigated if input edge mid-point co-ordin作者: heterodox 時間: 2025-3-22 17:29 作者: invulnerable 時間: 2025-3-22 21:15
Fetal Cortex Segmentation with Topology and Thickness Loss Constraintsdly, a regularization loss term is proposed by integrating assumptions about the cortical thickness within each sample. Our experiments on the developing human connectome project (dHCP) dataset show that our method can predict accurate CGM segmentation learned from noisy labels.作者: 母豬 時間: 2025-3-23 04:57 作者: 紅潤 時間: 2025-3-23 07:36
Theory of Plane Ionization Waves,ing classification performance disparities between White and Black subgroups, accuracies for the highest performing subgroups were substantially degraded and disproportionate impacts on performance were seen when considering intersections of sex, race, and socioeconomic status. These results highlig作者: 綠州 時間: 2025-3-23 10:02 作者: Optimum 時間: 2025-3-23 15:20 作者: 宣稱 時間: 2025-3-23 18:02 作者: 使隔離 時間: 2025-3-23 23:41 作者: Override 時間: 2025-3-24 02:25
Geophysics and Astrophysics Monographsdly, a regularization loss term is proposed by integrating assumptions about the cortical thickness within each sample. Our experiments on the developing human connectome project (dHCP) dataset show that our method can predict accurate CGM segmentation learned from noisy labels.作者: evanescent 時間: 2025-3-24 10:25
Conference proceedings 2022022); the 12.th. International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2.nd. International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International C作者: STRIA 時間: 2025-3-24 11:41 作者: 名義上 時間: 2025-3-24 17:54
Richard A. Register,Robert K. Prud’hommer, we describe the user-centered design process and give an example of how it can be incorporated to enhance the development of surgical innovations. As a case study, we focus on one of the most commonly performed and error-prone neurosurgical procedures, ventriculostomy.作者: 不連貫 時間: 2025-3-24 21:48
N. V. Smirnova,O. F. Ogloblina,V. A. Vlaskovtperform the baseline model even when privileged features are not of gold standard quality. Additionally, we introduce a novel method for post-hoc feature analysis, finding shortRunHighGreyLevelEmphasis of the lateral condyles and joint distance to be the most important features from the privileged modalities for predicting TMJ OA.作者: evasive 時間: 2025-3-25 01:01
A 35-Year Longitudinal Analysis of?Dermatology Patient Behavior Across Economic and Cultural Manifeselp address the issues identified across economic and cultural manifestations. Our analysis is further framed around three types of digital tools: “Dr. Google”, social media, and artificial intelligence (AI) tools, and across three stages of clinical care: pre-visit, in-visit, and post-visit.作者: ARCH 時間: 2025-3-25 06:06 作者: 認為 時間: 2025-3-25 10:54
Predicting Osteoarthritis of?the?Temporomandibular Joint Using Random Forest with?Privileged Informatperform the baseline model even when privileged features are not of gold standard quality. Additionally, we introduce a novel method for post-hoc feature analysis, finding shortRunHighGreyLevelEmphasis of the lateral condyles and joint distance to be the most important features from the privileged modalities for predicting TMJ OA.作者: Suppository 時間: 2025-3-25 14:42 作者: Criteria 時間: 2025-3-25 17:10 作者: 異常 時間: 2025-3-25 21:54 作者: Enrage 時間: 2025-3-26 01:06 作者: MAIM 時間: 2025-3-26 06:21
https://doi.org/10.1007/978-3-319-28649-5se (largely unexamined) areas is the . that motivates everything from problem decomposition to architecture selection to clinical regulation. This article examines one of the spectra that defines the learning paradigm, specifically the spectrum between . and ., in order to analyse what values drive solutions towards or away from either extreme.作者: visual-cortex 時間: 2025-3-26 11:08
Data Poisoning Attack and?Defenses in?Connectome-Based Predictive Modelsmproving the accuracy and fairness of connectome-based models, while largely overlooking trustworthiness, defined as the robustness of a model to data manipulations. In this work, we investigate the idea of trustworthiness through backdoor data poisoning—a technique that manipulates a portion of the作者: Mendacious 時間: 2025-3-26 13:07 作者: Prostatism 時間: 2025-3-26 20:44
Separable vs. End-to-End Learning: A Critical Examination of?Learning Paradigmslogical tool, this exposure requires the community to better understand the logical and philosophical foundations underpinning its use. One of the these (largely unexamined) areas is the . that motivates everything from problem decomposition to architecture selection to clinical regulation. This art作者: flex336 時間: 2025-3-27 00:28 作者: Suggestions 時間: 2025-3-27 01:50 作者: Simulate 時間: 2025-3-27 05:32 作者: 流行 時間: 2025-3-27 12:46 作者: Magnificent 時間: 2025-3-27 17:39 作者: 山間窄路 時間: 2025-3-27 17:55
Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networksit is important to be able to predict if an UIA is likely to grow based on an initial baseline Time-of-Flight MRA (TOF-MRA). It is known that the size and shape of UIAs are predictors of aneurysm growth and/or rupture. We perform a feasibility study of using a mesh convolutional neural network for f作者: 浮夸 時間: 2025-3-28 01:46
TDA-Clustering Strategies for?the?Characterization of?Brain Organoidsategies to characterize the morphology of three developmental stages of segmented brain organoid images. We calculate a linear regression of the H1 feature diagrams as well as entropy, dispersion, and average persistence of H0 and H1 features separately for each developmental stage. We also compute 作者: 斗爭 時間: 2025-3-28 03:07 作者: Crepitus 時間: 2025-3-28 07:17
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/315950.jpg作者: 奇思怪想 時間: 2025-3-28 10:42
https://doi.org/10.1007/978-3-031-23223-7artificial intelligence; bioinformatics; classification methods; computer networks; computer systems; com作者: probate 時間: 2025-3-28 17:11
Springer Tracts in Modern Physicsmproving the accuracy and fairness of connectome-based models, while largely overlooking trustworthiness, defined as the robustness of a model to data manipulations. In this work, we investigate the idea of trustworthiness through backdoor data poisoning—a technique that manipulates a portion of the作者: Insatiable 時間: 2025-3-28 18:49
Theory of Plane Ionization Waves,e of automated decision-making tools in medicine increases. However, bias mitigation strategies to achieve group fairness have appreciable shortcomings, which may pose ethical limitations in clinical settings. In this work, we study a well-defined case example of a deep learning-based medical image 作者: 創(chuàng)作 時間: 2025-3-29 00:45 作者: arboretum 時間: 2025-3-29 06:32 作者: 率直 時間: 2025-3-29 08:02
Richard A. Register,Robert K. Prud’hommeor and therefore omits meaningful and relevant user insights that can potentially be gathered about the context-of-use of a product. To mitigate this issue, we propose a user-centered design approach to developing surgical solutions. End-user involvement during product design has been linked to the 作者: Gossamer 時間: 2025-3-29 14:24
Some Outstanding Solar Flare Events,nificant time and cost in terms of instruments. Also, practical diagnosis demands experienced and skilled dermatologists. These challenges show the impracticality of manual diagnosis over the increased rate of skin cancer patients and thus demand robust end-to-end computer-aided diagnosis (CAD) meth作者: 異端 時間: 2025-3-29 17:58 作者: ENNUI 時間: 2025-3-29 20:25 作者: Dungeon 時間: 2025-3-30 02:45
