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標題: Titlebook: Interpretability of Machine Intelligence in Medical Image Computing; 5th International Wo Mauricio Reyes,Pedro Henriques Abreu,Jaime Cardos [打印本頁]

作者: Magnanimous    時間: 2025-3-21 20:00
書目名稱Interpretability of Machine Intelligence in Medical Image Computing影響因子(影響力)




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書目名稱Interpretability of Machine Intelligence in Medical Image Computing年度引用學(xué)科排名




書目名稱Interpretability of Machine Intelligence in Medical Image Computing讀者反饋




書目名稱Interpretability of Machine Intelligence in Medical Image Computing讀者反饋學(xué)科排名





作者: GNAT    時間: 2025-3-21 20:52

作者: 變異    時間: 2025-3-22 01:43

作者: 詼諧    時間: 2025-3-22 04:39
,Explainable Artificial Intelligence for?Breast Tumour Classification: Helpful or?Harmful, of mammograms. The main contribution of this research is the discovery that the 3 techniques consistently disagree both with each other and with the medical truth. We argue that using these off-shelf techniques in a medical context is not a feasible approach, and discuss possible causes of this problem, as well as some potential solutions.
作者: 遷移    時間: 2025-3-22 11:11

作者: Brain-Waves    時間: 2025-3-22 16:36
Conference proceedings 2022tion, MICCAI 2022..The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention.?.
作者: 擺動    時間: 2025-3-22 19:14

作者: jovial    時間: 2025-3-22 21:34

作者: Vasoconstrictor    時間: 2025-3-23 02:31

作者: MUMP    時間: 2025-3-23 09:35

作者: 赦免    時間: 2025-3-23 13:38
Mara Graziani,Niccolò Marini,Nicolas Deutschmann,Nikita Janakarajan,Henning Müller,María Rodríguez M
作者: FID    時間: 2025-3-23 15:42

作者: prodrome    時間: 2025-3-23 18:11
Paul Engstler,Matthias Keicher,David Schinz,Kristina Mach,Alexandra S. Gersing,Sarah C. Foreman,Soph
作者: 艱苦地移動    時間: 2025-3-23 23:42
R. C. J. Kraaijveld,M. E. P. Philippens,W. S. C. Eppinga,I. M. Jürgenliemk-Schulz,K. G. A. Gilhuijs,
作者: ARM    時間: 2025-3-24 06:11

作者: 蕁麻    時間: 2025-3-24 08:52

作者: 未開化    時間: 2025-3-24 14:27
,Towards Self-explainable Transformers for?Cell Classification in?Flow Cytometry Data,classifies cells in FCM data by mimicking the decision process of medical experts. Our network considers all events of a sample at once and predicts the corresponding polygons of the gating hierarchy, thus, producing a verifiable visualization in the same way a human operator does. The proposed mode
作者: 合法    時間: 2025-3-24 17:42
,Reducing Annotation Need in?Self-explanatory Models for?Lung Nodule Diagnosis,ttributes. Visualisation of the learned space further indicates that the correlation between the clustering of malignancy and nodule attributes coincides with clinical knowledge. Our complete code is open-source available: ..
作者: 驚呼    時間: 2025-3-24 21:10

作者: WITH    時間: 2025-3-25 01:06
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust,e estimators of voxel uncertainty: entropy, variance, and model’s confidence; and can be applied to any lesion, regardless of its shape or size. We demonstrate the superiority of our approach for uncertainty estimate on a task of Multiple Sclerosis lesions segmentation.
作者: overhaul    時間: 2025-3-25 05:27

作者: 憂傷    時間: 2025-3-25 09:17

作者: 退潮    時間: 2025-3-25 12:03

作者: BOGUS    時間: 2025-3-25 16:55

作者: 外科醫(yī)生    時間: 2025-3-25 22:37
Interpretability of Machine Intelligence in Medical Image Computing5th International Wo
作者: 殺菌劑    時間: 2025-3-26 02:24

作者: exacerbate    時間: 2025-3-26 04:31

作者: Abrupt    時間: 2025-3-26 12:23

作者: Adornment    時間: 2025-3-26 13:22
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/472701.jpg
作者: 仲裁者    時間: 2025-3-26 19:34
https://doi.org/10.1007/978-3-031-17976-1artificial intelligence; bioinformatics; computer systems; computer vision; deep learning; evolutionary a
作者: paleolithic    時間: 2025-3-26 21:52
,Interpretable Lung Cancer Diagnosis with?Nodule Attribute Guidance and?Online Model Debugging,ly-used unsure nodule data such as LIDC-IDRI, we constructed a sure nodule data with gold-standard clinical diagnosis. To make the traditional CNN networks interpretable, we propose herewith a novel collaborative model to improve the trustworthiness of lung cancer predictions by self-regulation, whi
作者: Shuttle    時間: 2025-3-27 03:16
,Do Pre-processing and?Augmentation Help Explainability? A?Multi-seed Analysis for?Brain Age Estimatnd efficient deep learning algorithms. There are two concerns with these algorithms, however: they are black-box models, and they can suffer from over-fitting to the training data due to their high capacity. Explainability for visualizing relevant structures aims to address the first issue, whereas
作者: 匍匐    時間: 2025-3-27 06:20

作者: exorbitant    時間: 2025-3-27 12:05
,Reducing Annotation Need in?Self-explanatory Models for?Lung Nodule Diagnosis,semantic matching of clinical knowledge adds significantly to the trustworthiness of the AI. However, the cost of additional annotation of features remains a pressing issue. We address this problem by proposing cRedAnno, a data-/annotation-efficient self-explanatory approach for lung nodule diagnosi
作者: defendant    時間: 2025-3-27 16:05
,Attention-Based Interpretable Regression of?Gene Expression in?Histology,mmendations. For models exceeding human performance, e.g. predicting RNA structure from microscopy images, interpretable modelling can be further used to uncover highly non-trivial patterns which are otherwise imperceptible to the human eye. We show that interpretability can reveal connections betwe
作者: triptans    時間: 2025-3-27 17:49

作者: 畫布    時間: 2025-3-28 00:37

作者: 違法事實    時間: 2025-3-28 03:56

作者: 危險    時間: 2025-3-28 09:13
,KAM - A Kernel Attention Module for?Emotion Classification with?EEG Data,es a self-attention mechanism by performing a kernel trick, demanding significantly fewer trainable parameters and computations than standard attention modules. The design also provides a scalar for quantitatively examining the amount of attention assigned during deep feature refinement, hence help
作者: Calculus    時間: 2025-3-28 13:39
,Explainable Artificial Intelligence for?Breast Tumour Classification: Helpful or?Harmful,hey make their decisions. For example, image explanations show us which pixels or segments were deemed most important by a model for a particular classification decision. This research focuses on image explanations generated by LIME, RISE and SHAP for a model which classifies breast mammograms as ei
作者: accessory    時間: 2025-3-28 17:51
Hanxiao Zhang,Liang Chen,Minghui Zhang,Xiao Gu,Yulei Qin,Weihao Yu,Feng Yao,Zhexin Wang,Yun Gu,Guangserung von Prozessen etabliert hat. .Neu ist ein Kapitel über die Verbesserungs-Kata, die als ganzheitliche Verbesserungsmethode zurzeit diskutiert wird, sowie ein Kapitel über die IT-Unterstützung von Prozessen, das einen Einblick in g?ngige Systeme ?zur Automatisierung von Prozessen gibt. .Trotz B
作者: 使人入神    時間: 2025-3-28 19:01
Daehyun Cho,Christian Wallravenzugekommen ist ein Abschnitt zur Wertstromanalyse und Kapite.In der vorliegenden zweiten Auflage wurde der Methodenteil um die Wertstromanalyse erg?nzt, die sich zu einem Standardwerkzeug der Analyse und Verbesserung von Prozessen etabliert hat. .Neu ist ein Kapitel über die Verbesserungs-Kata, die
作者: 笨拙處理    時間: 2025-3-29 01:54

作者: 樂章    時間: 2025-3-29 06:46

作者: Arthritis    時間: 2025-3-29 09:06

作者: 偽證    時間: 2025-3-29 13:33
der Entscheidung gestützt, da? die Unternehmensleitung ganz bewu?t die Koordinationsfunktion zur Optimierung der Materialwirtschaftsaktivit?ten an einen dafür ausgebildeten Spezialisten delegiert. Es fehlen ihr dabei weniger die Kenntnisse, wie man sich die dafür notwendigen Entscheidungsm?glichkei
作者: BIBLE    時間: 2025-3-29 18:51
0302-9743 ?rst to be held in North America. Previous conferences were held in Singapore, China, UK, A- tralia, and Japan. The Programme Committee received 110 papers and978-3-540-23841-6978-3-540-30482-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: ALIAS    時間: 2025-3-29 21:58
An Overview of Early Childhood Education in the People’s Republic of Chinal education. This is reflected in the recently issued guidelines and legislation and increased funding for the sector. The proper implementation of these initiatives will ensure that China will have a high-quality and effective system of preschool education.
作者: anarchist    時間: 2025-3-30 00:33
,Strukturdynamik nativer und künstlich vernetzter Sehnenfasern, Technologien, so z. B. der Synchrotronstrahlung zur Erzeugung von R?ntgenme?daten sehr schnell ablaufender dynamischer Vorg?nge sowie die überraschende Tatsache, da? mit HMDI vernetzte Fasern ein von nativen Objekten nicht unterscheidbares R?ntgendiagramm liefern.
作者: Inclement    時間: 2025-3-30 04:32
Introduction,sophy of religion has been regarded as a respectable discipline. This has not, however, been the case with theology and literature. In general it has been assumed that each should have its own subject matter and methodology and that there should be no straying from one department into the other.




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