標(biāo)題: Titlebook: Medical Image Understanding and Analysis; 24th Annual Conferen Bart?omiej W. Papie?,Ana I. L. Namburete,J. Alison Conference proceedings 20 [打印本頁] 作者: mortality 時間: 2025-3-21 18:04
書目名稱Medical Image Understanding and Analysis影響因子(影響力)
書目名稱Medical Image Understanding and Analysis影響因子(影響力)學(xué)科排名
書目名稱Medical Image Understanding and Analysis網(wǎng)絡(luò)公開度
書目名稱Medical Image Understanding and Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Medical Image Understanding and Analysis被引頻次
書目名稱Medical Image Understanding and Analysis被引頻次學(xué)科排名
書目名稱Medical Image Understanding and Analysis年度引用
書目名稱Medical Image Understanding and Analysis年度引用學(xué)科排名
書目名稱Medical Image Understanding and Analysis讀者反饋
書目名稱Medical Image Understanding and Analysis讀者反饋學(xué)科排名
作者: BRIEF 時間: 2025-3-21 20:35 作者: 攤位 時間: 2025-3-22 01:35 作者: neolith 時間: 2025-3-22 08:37 作者: CRAMP 時間: 2025-3-22 09:08 作者: 方便 時間: 2025-3-22 15:28
Segmenting Hepatocellular Carcinoma in Multi-phase CTapply input-level fusion for stacks of multi-phase data as channel input. Finally, we make use of a public single-phase CT liver tumour dataset for the pre-training of network parameters to improve the generalisation capabilities of our networks.作者: gospel 時間: 2025-3-22 17:35
On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images presence of low contrast, when given suitable user input. In addition, we implement a deep learning algorithm based on this model, allowing for a supervised, semi-supervised or unsupervised approach, depending on data availability.作者: glucagon 時間: 2025-3-23 00:37 作者: Hypomania 時間: 2025-3-23 03:49 作者: Affable 時間: 2025-3-23 07:01
Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentationxpect that the proposed training scheme would be applicable to any feedforward network and task. We show that the network can be used to harmonise two datasets and also show that the network is applicable in the common scenario of limited available training data, meaning that the network should be applicable for real-world segmentation problems.作者: macabre 時間: 2025-3-23 12:33 作者: Fibrillation 時間: 2025-3-23 17:35 作者: 遺產(chǎn) 時間: 2025-3-23 18:55
Conference proceedings 2020ubmissions. They were organized according to following topical sections: ?image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling..作者: Badger 時間: 2025-3-24 01:05
Conference proceedings 2020o COVID-19 pandemic the conference was held virtually.?.The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: ?image segmentation; image registration, reconstruction and enhancement; radi作者: otic-capsule 時間: 2025-3-24 04:31 作者: Haphazard 時間: 2025-3-24 08:50
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Entation map and the original image, we are able to predict if a patient has MF or Eczema. We created two models that can be applied in different stages of the diagnostic pipeline, potentially eliminating life-threatening mistakes. The classification outcome is considerably more interpretable than us作者: 我說不重要 時間: 2025-3-24 12:06
Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentationt dilation rate. We replaced standard convolutional layers with autofocus layers to adaptively change the size of the effective receptive field to generate more powerful features. Experiments with our autofocus settings on the BraTS 2018 glioma dataset show that the proposed method achieved average 作者: SOB 時間: 2025-3-24 17:04
Improving U-Net Segmentation with Active Contour Based Label Correctionon the segmentation of the left ventricle in 2D ultrasound scans. The active contour label correction yielded more precise boundary predictions, suggesting that this simple correction step can improve boundary segmentation with imperfect labels.作者: bibliophile 時間: 2025-3-24 19:12
Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signalbile ducts and obtain accurate duct diameter measurements. Compared to the Hessian-based Frangi vesselness filter, we show that our method gives superior background noise suppression and performs better at duct bifurcations, where the model assumptions underlying vesselness fail.作者: HEW 時間: 2025-3-25 00:05
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitationscan achieve state-of-the-art performance. Further, this pre-training task utilises automated labels, meaning the pipeline requires very few manually segmented data points. On the other hand, using a different task for pre-training is shown to be less successful. We then conclude, by showing that, wh作者: evasive 時間: 2025-3-25 04:28 作者: Arboreal 時間: 2025-3-25 08:17
Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN BNN scores and the scores from a Binary Classifier Network (BCN) that tests compatibility of the nodes of the edge. A novel application of Dijkstra’s shortest path algorithm in this network produces both localizations and identifications of the lumbar discs in a globally optimal manner. Experiments o作者: 愛花花兒憤怒 時間: 2025-3-25 14:56 作者: 運動的我 時間: 2025-3-25 18:39
CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN128?×?2 voxels and the output is displacement field of 128?×?128?×?64?×?3 voxels. The Contraction-Expansion registration network, on its own, achieves mean error of 1.30?mm with 1.70 standard deviation (SD) on the DIR-LAB dataset. When the whole proposed LSGAN network is used, the mean error is furt作者: 分解 時間: 2025-3-25 22:10
A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Usingsformer Network (STN) inspired convolutional neural network (CNN) architecture to perform supervised registration of bSSFP cine CMR and LGE CMR images. We evaluate our proposed method on the 2019 Multi-Sequence Cardiac Magnetic Resonance Segmentation Challenge (MS-CMRSeg) dataset and use several eva作者: Campaign 時間: 2025-3-26 03:01
ighlight the further exploration potential of the area for Au and PGE-deposits. Results can also be used to calculate approximate emission figures for the Monchegorsk smelter (0.1 t Au, 2.2 t Pd and 0.8 t Pt per year).作者: COLIC 時間: 2025-3-26 07:34
ighlight the further exploration potential of the area for Au and PGE-deposits. Results can also be used to calculate approximate emission figures for the Monchegorsk smelter (0.1 t Au, 2.2 t Pd and 0.8 t Pt per year).作者: 鍍金 時間: 2025-3-26 09:29 作者: IVORY 時間: 2025-3-26 15:48 作者: 討人喜歡 時間: 2025-3-26 17:51 作者: CURL 時間: 2025-3-27 00:09
Linde S. Hesse,Ana I. L. Namburetepatients with life-limiting illness. Numerous texts and journals exist to provide the data to inform care, yet there remains a need to find practical points and information about the practical application of th978-1-60761-589-7978-1-60761-590-3Series ISSN 2364-1134 Series E-ISSN 2364-1142 作者: 訓(xùn)誡 時間: 2025-3-27 01:42
Nora Vogt,Sir Michael Brady,Ged Ridgway,John Connell,Ana I. L. Namburetepatients with life-limiting illness. Numerous texts and journals exist to provide the data to inform care, yet there remains a need to find practical points and information about the practical application of th978-1-60761-589-7978-1-60761-590-3Series ISSN 2364-1134 Series E-ISSN 2364-1142 作者: FLORA 時間: 2025-3-27 06:26 作者: 項目 時間: 2025-3-27 09:47 作者: PUT 時間: 2025-3-27 17:34 作者: 我要沮喪 時間: 2025-3-27 18:07
Jose Bernal,Maria Valdés-Hernández,Lucia Ballerini,Javier Escudero,Angela C. C. Jochems,Una Clancy,Fdeutung: Durch sie kann tiefer kommuniziert werden als über Worte. Symbole k?nnen z. B. Gegenst?nde, Musik, Düfte oder Bewegungen sein. Symbole sind ?sichtbare Zeichen einer unsichtbaren ideellen Wirklichkeit?, also Zeichen mit einem sog. ?Bedeutungsüberschuss? (Kast 1996).作者: aneurysm 時間: 2025-3-28 00:04
Mikael Brudfors,Ya?l Balbastre,John Ashburneritende fühlen zurecht eine gro?e Verantwortung, wenn es um Gespr?che geht, die sich um das Thema Tod und Sterben drehen, die dem Sterbenden helfen sollen, sich in angemessener Weise zu verabschieden, sich zu vers?hnen mit seiner Situation, das zu erledigen, was ihm noch wichtig erscheint.作者: 衣服 時間: 2025-3-28 02:58 作者: 意外 時間: 2025-3-28 09:52
Andrew Torr,Doga Basaran,Julia Sero,Jens Rittscher,Heba Saileme mehr wissen und sich mit irrationalen ?ngsten auseinandersetzen k?nnen, wird sich dies nicht nur positiv auf ihre zu bew?ltigen Aufgaben auswirken, sondern Ihnen automatisch auch mehr Sicherheit im Umgang mit Angeh?rigen geben.作者: hegemony 時間: 2025-3-28 11:49
e mehr wissen und sich mit irrationalen ?ngsten auseinandersetzen k?nnen, wird sich dies nicht nur positiv auf ihre zu bew?ltigen Aufgaben auswirken, sondern Ihnen automatisch auch mehr Sicherheit im Umgang mit Angeh?rigen geben.作者: 官僚統(tǒng)治 時間: 2025-3-28 17:26 作者: indices 時間: 2025-3-28 19:55
Bart?omiej W. Papie?,Ana I. L. Namburete,J. Alison作者: nurture 時間: 2025-3-29 02:58
Andreas Stefani,Roushanak Rahmat,David Harris-Birtillilable. This case-based clinical book aims to help with the actual practice of caring for patients with life-limiting illness. Numerous texts and journals exist to provide the data to inform care, yet there remains a need to find practical points and information about the practical application of th作者: Exposure 時間: 2025-3-29 04:57 作者: exclusice 時間: 2025-3-29 10:19
Liam Burrows,Ke Chen,Francesco Torellailable. This case-based clinical book aims to help with the actual practice of caring for patients with life-limiting illness. Numerous texts and journals exist to provide the data to inform care, yet there remains a need to find practical points and information about the practical application of th作者: 不理會 時間: 2025-3-29 12:04
Jack Weatheritt,Daniel Rueckert,Robin Wolzilable. This case-based clinical book aims to help with the actual practice of caring for patients with life-limiting illness. Numerous texts and journals exist to provide the data to inform care, yet there remains a need to find practical points and information about the practical application of th作者: 畸形 時間: 2025-3-29 19:21
Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PTV) as well as total MATV (TMATV - including primary tumor, lymph nodes and metastasis) derived from PET images have been identified as prognostic factor or for evaluating treatment efficacy in cancer patients. To this end a segmentation approach with high precision and repeatability is important. M作者: 植物茂盛 時間: 2025-3-29 20:37 作者: Cardiac 時間: 2025-3-30 02:08 作者: 駕駛 時間: 2025-3-30 07:43 作者: Pruritus 時間: 2025-3-30 10:07 作者: 極少 時間: 2025-3-30 15:22 作者: ironic 時間: 2025-3-30 18:16 作者: 天文臺 時間: 2025-3-30 22:30
On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Imagesations particularly in medical imaging. Robust methods can aid clinicians with diagnosis, surgical planning, etc. Many selective segmentation algorithms use geometric constraints such as information from the edges in order to determine where an object lies. It is still a challenge where there is low作者: 口音在加重 時間: 2025-3-31 01:20
Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signaligation of pancreatobiliary diseases. In current clinical practice, MRCP image interpretation remains primarily qualitative, though there is growing interest in using quantitative biomarkers, computed from segmentations of the biliary tree, to provide more objective assessments. The variable image q作者: 走路左晃右晃 時間: 2025-3-31 06:22 作者: 記憶法 時間: 2025-3-31 09:20
Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Studyst in chronic disease. Recent developments in machine learning facilitate pancreas segmentation and volume extraction. Machine learning methods could also help in designing a data-driven approach to pancreas shape characterization. We present an automated pipeline for pancreas volume and shape chara作者: 得意牛 時間: 2025-3-31 14:58
Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Bsame image, size and shape differences between subjects, and poor resolution. Many deep learning-based methods have been proposed recently to achieve automated detection and identification of human intervertebral discs. However, since there is usually only a small amount of labeled vertebral images 作者: COM 時間: 2025-3-31 19:42
DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networkstensive improvements in semantic image segmentation. In particular, U-Net, a model specifically developed for biomedical image data, performs multi-instance segmentation through pixel-based classification. However, approaches based on U-Net tend to merge touching cells in dense cell cultures, result作者: FLAT 時間: 2025-3-31 23:59
