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標(biāo)題: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; 23rd International C Anne L. Martel,Purang Abolmaesumi,Leo Joskow [打印本頁]

作者: centipede    時間: 2025-3-21 17:17
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020影響因子(影響力)




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020影響因子(影響力)學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020網(wǎng)絡(luò)公開度




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020被引頻次




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020被引頻次學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020年度引用




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020年度引用學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020讀者反饋




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020讀者反饋學(xué)科排名





作者: 根除    時間: 2025-3-21 21:42
978-3-030-59721-4Springer Nature Switzerland AG 2020
作者: 以煙熏消毒    時間: 2025-3-22 00:56
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020978-3-030-59722-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 憤慨一下    時間: 2025-3-22 05:36
https://doi.org/10.1007/978-3-030-59722-1artificial intelligence; color image processing; computer vision; deep learning; digital image; image ana
作者: staging    時間: 2025-3-22 11:17

作者: 無表情    時間: 2025-3-22 14:25

作者: verdict    時間: 2025-3-22 20:34
DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imagis well as non-active cells. We first learn to predict whether two pixels belong to the same cell; this information is summarized in an undirected, edge-weighted graph which we then partition. Evaluating our method on the Neurofinder public benchmark shows that DISCo outperforms all existing models trained on these datasets.
作者: VAN    時間: 2025-3-22 22:26

作者: Dealing    時間: 2025-3-23 04:28
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Imagesric for 3D data with a 45. speedup. On MitoEM, we find existing instance segmentation methods often fail to correctly segment mitochondria with complex shapes or close contacts with other instances. Thus, our MitoEM dataset poses new challenges to the field. We release our code and data: ..
作者: 換話題    時間: 2025-3-23 09:16

作者: Delude    時間: 2025-3-23 10:44
0302-9743 l Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic...The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-
作者: Psa617    時間: 2025-3-23 17:08

作者: FISC    時間: 2025-3-23 21:21

作者: LOPE    時間: 2025-3-23 23:08
A Novel Approach to Tongue Standardization and Feature Extractioninate system minimizes these variations more effectively than current alignment-based methods. We further hypothesize an underlying fungiform papillae distribution for each tongue, which we estimate and use to perform statistical analysis on the different tongue categories. For this, we consider a c
作者: 集合    時間: 2025-3-24 04:41

作者: Ondines-curse    時間: 2025-3-24 08:36

作者: Obstacle    時間: 2025-3-24 10:57
Learning Guided Electron Microscopy with Active Acquisitionn the saliency and spatial diversity. We demonstrate the efficacy of this novel technique for active acquisition by speeding up the task of collecting connectomic datasets for neurobiology by up?to an order of magnitude. Code is available at?..
作者: FECK    時間: 2025-3-24 15:17

作者: 試驗    時間: 2025-3-24 21:08
Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivityding the structure of neuronal circuitry. Our approach, which we call Agents, recasts the segmentation problem to one of path finding between keypoints (i.e., connectivity) in an information sharing framework using virtual agents. We create a family of sensors which follow local decision-making rule
作者: Licentious    時間: 2025-3-25 01:56

作者: 形容詞    時間: 2025-3-25 06:17

作者: A精確的    時間: 2025-3-25 09:55

作者: 帶來的感覺    時間: 2025-3-25 14:01

作者: 不能逃避    時間: 2025-3-25 18:30
Joint Spatial-Wavelet Dual-Stream Network for Super-Resolutionhe wavelet coefficients for better compatibility with networks and Wavelet-Aware Convolutional blocks (WAC) to exploit features in the wavelet domain efficiently. We further introduce the wavelet coefficients supervision together with the traditional spatial loss to jointly optimize the network and
作者: 控訴    時間: 2025-3-25 20:01

作者: Pseudoephedrine    時間: 2025-3-26 02:22
0302-9743 d stain normalization; histopathology image analysis; opthalmology..Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal im978-3-030-59721-4978-3-030-59722-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: Banister    時間: 2025-3-26 07:10
Salma Abdel Magid,Won-Dong Jang,Denis Schapiro,Donglai Wei,James Tompkin,Peter K. Sorger,Hanspeter P
作者: Obsequious    時間: 2025-3-26 09:05

作者: 小平面    時間: 2025-3-26 15:56
Brian D. Leahy,Won-Dong Jang,Helen Y. Yang,Robbert Struyven,Donglai Wei,Zhe Sun,Kylie R. Lee,Charlot
作者: 地牢    時間: 2025-3-26 17:32
Chenhao Wang,Camilla Cattaneo,Jing Liu,Wender Bredie,Ella Pagliarini,Jon Sporring
作者: 相信    時間: 2025-3-26 23:14

作者: 煩人    時間: 2025-3-27 02:51
Lu Mi,Hao Wang,Yaron Meirovitch,Richard Schalek,Srinivas C. Turaga,Jeff W. Lichtman,Aravinthan D. T.
作者: MUTE    時間: 2025-3-27 05:41
Nathan Drenkow,Justin Joyce,Jordan Matelsky,Jennifer Heiko,Reem Larabi,Brock Wester,Dean Kleissas,Wi
作者: Diaphragm    時間: 2025-3-27 10:49
Erdem Varol,Amin Nejatbakhsh,Ruoxi Sun,Gonzalo Mena,Eviatar Yemini,Oliver Hobert,Liam Paninski
作者: CLIFF    時間: 2025-3-27 14:31

作者: 慟哭    時間: 2025-3-27 20:55

作者: Terminal    時間: 2025-3-27 23:17

作者: 貧窮地活    時間: 2025-3-28 04:37

作者: 造反,叛亂    時間: 2025-3-28 10:13
Zhen Chen,Xiaoqing Guo,Chen Yang,Bulat Ibragimov,Yixuan Yuan
作者: concert    時間: 2025-3-28 11:17

作者: 膠水    時間: 2025-3-28 16:16
haltung w?re mit OPs einfach zu realisieren, aber Komparatoren‐ICs haben doch Vorteile hinsichtlich ihres Preises und in Bezug auf das schnelle Schaltverhalten. Eine optionale Nutzung von Komparatoren als analoge Messverst?rker w?re also wünschenswert.
作者: MILK    時間: 2025-3-28 19:41

作者: 預(yù)感    時間: 2025-3-29 01:35

作者: 支柱    時間: 2025-3-29 06:23
Nils Eckstein,Julia Buhmann,Matthew Cook,Jan Funke?ten in den sozialen Netzwerken führte, jedoch nicht über fundamentale ideologische Gr?ben in gro?en Teilen der W?hlerschaft hinwegt?uschen konnte, sondern vielmehr jene offenkundige Polarisierung der politischen Debatte als zentrale Herausforderungen des politischen Diskurses der Gegenwart sichtbar
作者: 偽造者    時間: 2025-3-29 08:05
Channel Embedding for Informative Protein Identification from Highly Multiplexed Imagestical decisions and scientific discovery. Effective interpretation techniques accelerate biomarker discovery and provide new insights into the etiology, diagnosis, and treatment of disease. Most interpretation techniques aim to discover spatially-salient regions within images, but few techniques con
作者: 盤旋    時間: 2025-3-29 11:25
Demixing Calcium Imaging Data in , via Deformable Non-negative Matrix Factorizationcs that govern behavior. Traditionally, non-negative matrix factorization (NMF) methods have been successful in demixing and denoising cellular calcium activity in relatively motionless or pre-registered videos. However, in the case of . or other animal models where motion compensation methods fail
作者: 燕麥    時間: 2025-3-29 18:33

作者: 聯(lián)合    時間: 2025-3-29 21:31

作者: Spongy-Bone    時間: 2025-3-30 01:58
Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoisingocal microscopy suffers from the presence of inherent noise during image acquisition. Non-local patch-wise Bayesian mean filtering (NLB) was until recently the state-of-the-art denoising approach. However, classic denoising methods have been outperformed by neural networks in recent years. In this w
作者: Pulmonary-Veins    時間: 2025-3-30 05:27

作者: 責(zé)難    時間: 2025-3-30 10:05

作者: interlude    時間: 2025-3-30 15:54

作者: 修正案    時間: 2025-3-30 18:03
Neuronal Subcompartment Classification and Merge Error Correctionconnected by millions of synapses. Interpreting reconstructions at this scale demands advances in the automated analysis of neuronal morphologies, for example by identifying morphological and functional subcompartments within neurons. We present a method that for the first time uses full 3d input (v
作者: 壓迫    時間: 2025-3-31 00:43

作者: hemoglobin    時間: 2025-3-31 03:56
Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivitye. State-of-the-art algorithms are almost entirely dominated by the use of convolutional neural network approaches that may be difficult to run at scale given schedule, cost, and resource limitations. We demonstrate a novel solution for high-resolution electron microscopy brain image volumes that pe
作者: Comprise    時間: 2025-3-31 07:56

作者: Entirety    時間: 2025-3-31 13:02

作者: ALE    時間: 2025-3-31 13:25
Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptuadditional spatial details. However, added spatial details challenge existing segmentation tools. Confounding features include protein distributions that form membranes and boundaries, such as cellular and nuclear surfaces. We present a segmentation pipeline that retains the benefits provided by SR i
作者: Aqueous-Humor    時間: 2025-3-31 19:14
DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imagillel and at single-cell resolution. In order to use the data gained with calcium imaging, it is necessary to extract individual cells and their activity from the recordings. We present DISCo, a novel approach for the cell segmentation in calcium imaging videos. We use temporal information from the r
作者: 有角    時間: 2025-3-31 22:39

作者: 瑣碎    時間: 2025-4-1 01:58
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foregroundmination and hence have spurious intensity variation, also known as shading or vignetting effect. Besides spatial intensity inhomogeneity, time-lapse microscopy imaging further suffers from background variation in time, mostly due to photo-bleaching of the background medium. Moreover, the temporal b
作者: RALES    時間: 2025-4-1 09:22
Joint Spatial-Wavelet Dual-Stream Network for Super-Resolutione accurate diagnosis decisions. Although the existing pixel-loss based SR works produce high-resolution images with impressive objective metrics, the over-smoothed contents that lose high-frequency information would disturb the visual experience and the subsequent diagnosis. To address this issue, w
作者: 青少年    時間: 2025-4-1 11:59

作者: lymphoma    時間: 2025-4-1 18:23

作者: 反復(fù)無常    時間: 2025-4-1 22:11

作者: 離開    時間: 2025-4-1 23:59





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