標題: Titlebook: Medical Image Understanding and Analysis; 27th Annual Conferen Gordon Waiter,Tryphon Lambrou,Sharon Gordon Conference proceedings 2024 The [打印本頁] 作者: 螺絲刀 時間: 2025-3-21 18:54
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讀者反饋學科排名
作者: 平 時間: 2025-3-21 21:24 作者: 連詞 時間: 2025-3-22 01:30
Peter E. Salah,Merna Bibars,Ayman Eldeib,Ahmed M. Ghanem,Ahmed M. Gharib,Khaled Z. Abd-Elmoniem,Must作者: 饒舌的人 時間: 2025-3-22 05:56
Bidur Khanal,Binod Bhattarai,Bishesh Khanal,Danail Stoyanov,Cristian A. Linte作者: ticlopidine 時間: 2025-3-22 10:27
Samiran Dey,Partha Basuchowdhuri,Debasis Mitra, Robin Augustine,Sanjoy Kumar Saha,Tapabrata Chakrabo作者: Harass 時間: 2025-3-22 16:42
Marwan Khaled,Mostafa A. Hammouda,Hesham Ali,Mustafa Elattar,Sahar Selim作者: GRE 時間: 2025-3-22 18:13
Merna Bibars,Peter E. Salah,Ayman Eldeib,Mustafa A. Elattar,Inas A. Yassine作者: Prosaic 時間: 2025-3-22 21:53 作者: 機構(gòu) 時間: 2025-3-23 05:13 作者: 外面 時間: 2025-3-23 09:29
Jonathan Campbell,Mitchell Dawson,Andrew Zisserman,Weidi Xie,Christoffer Nell?ker作者: synovitis 時間: 2025-3-23 11:12 作者: incision 時間: 2025-3-23 14:41
A Deep Learning Based Approach to?Semantic Segmentation of?Lung Tumour Areas in?Gross Pathology Imags which produced a tumour pixel-wise accuracy of 69.7% (96.8% global accuracy) and tumour area IoU score of 0.616. This work on this novel application highlights the challenges with implementing a semantic segmentation model in this domain that have not been previously documented.作者: 可憎 時間: 2025-3-23 18:33 作者: Graphite 時間: 2025-3-23 22:23 作者: 歡樂東方 時間: 2025-3-24 05:26
Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformeris used as it combines the advantages of transformers and convolutional neural networks. To evaluate the performance of the models, dice evaluation metric is used. The proposed method achieved state-of-the-art results on the PanNuke dataset, with Segformer-b4 achieving a mean dice score of 0.845, an作者: Corroborate 時間: 2025-3-24 08:27
Cross-Modality Deep Transfer Learning: Application to?Liver Segmentation in?CT and?MRIunt of training data, which is not available for MR. There are many CT datasets available compared to few MR datasets. The use of transfer learning can help to mitigate the problem of having a small amount of training data. We suggest training a U-Net deep learning model on the large publicly availa作者: LAITY 時間: 2025-3-24 12:37 作者: Restenosis 時間: 2025-3-24 17:25 作者: Gorilla 時間: 2025-3-24 19:02
: Cross-Domain Cell Detection in?Histopathology Images via?Contextual Regularizations a reconstruction task that involves masking the high-level semantic features either stochastically or adaptively. Then, a transformer-based reconstruction head is designed to recover the original features based on partial observations. Additionally, CR can be seamlessly integrated with various dee作者: 出價 時間: 2025-3-25 00:26
A New Similarity Metric for?Deformable Registration of?MALDI–MS and?MRI Imageslarity metric for deformable registration, based on the update of distance transformation values. We show that our method limits the intensity distortions while providing precisely registered images, on both synthetic and mouse brain images.作者: Antioxidant 時間: 2025-3-25 07:08 作者: Legend 時間: 2025-3-25 07:45 作者: Palpable 時間: 2025-3-25 13:53 作者: alcoholism 時間: 2025-3-25 17:26 作者: 廣口瓶 時間: 2025-3-25 20:00 作者: accrete 時間: 2025-3-26 01:03
Florent Grélard,Michael Tuck,Elise Cosenza,David Legland,Marléne Durand,Sylvain Miraux,Nicolas Desbewill highlight the unique and critical insights that can be gained by the inclusion of palaeontological data into modern ecological or conservation studies.978-3-642-44098-4978-3-642-25038-5Series ISSN 2197-9596 Series E-ISSN 2197-960X 作者: ellagic-acid 時間: 2025-3-26 05:00
Riddhi Johri,Pankaj Pandey,Krishna Prasad Miyapuram,James Derek Lomaswill highlight the unique and critical insights that can be gained by the inclusion of palaeontological data into modern ecological or conservation studies.978-3-642-44098-4978-3-642-25038-5Series ISSN 2197-9596 Series E-ISSN 2197-960X 作者: 平常 時間: 2025-3-26 11:34 作者: grandiose 時間: 2025-3-26 16:01
Nina Jiang,Yupeng Zhuo,Andrew W. Kirkpatrick,Kyle Couperus,Oanh Tran,Jonah Beck,DeAnna DeVane,Ross Cwill highlight the unique and critical insights that can be gained by the inclusion of palaeontological data into modern ecological or conservation studies.978-3-642-44098-4978-3-642-25038-5Series ISSN 2197-9596 Series E-ISSN 2197-960X 作者: 保留 時間: 2025-3-26 18:28 作者: Neutropenia 時間: 2025-3-26 22:55
Harnessing the Potential of Deep Learning for Total Shoulder Implant Classification: A Comparative Srk classified implants with an accuracy of 91.48% and with an AUC (Area under curve) of 0.9932 showing higher effectiveness in orthopedic implant identification. Further work is required to enhance and progress this work, with a goal of greater accuracy and fewer errors.作者: 競選運動 時間: 2025-3-27 03:20 作者: Gleason-score 時間: 2025-3-27 06:09 作者: 江湖郎中 時間: 2025-3-27 12:16
BliMSR: Blind Degradation Modelling for?Generating High-Resolution Medical Imagesity. Experimental results on lung CT scans demonstrate that our model, BliMSR, produces super-resolved images with enhanced details and textures and outperforms recent competing models, including a diffusion model for generating super-resolution images, thus establishing a state-of-the-art. The code is available at ..作者: membrane 時間: 2025-3-27 15:31 作者: 適宜 時間: 2025-3-27 20:29
Segmentation of?White Matter Hyperintensities and?Ischaemic Stroke Lesions in?Structural MRIsmall vessel disease (SVD). Segmentation and differentiation of these lesions is important in diagnosis, prognosis and management, but this is challenging to automate because they have similar appearance. In this study, we used MRI scans from four cohorts of people with sporadic SVD with both WMH an作者: 內(nèi)部 時間: 2025-3-27 23:54 作者: biopsy 時間: 2025-3-28 04:13 作者: ERUPT 時間: 2025-3-28 06:34
M-VAAL: Multimodal Variational Adversarial Active Learning for?Downstream Medical Image Analysis Taslearning attempts to minimize the need for large annotated samples by actively sampling the most informative examples for annotation. These examples contribute significantly to improving the performance of supervised machine learning models, and thus, active learning can play an essential role in se作者: 小隔間 時間: 2025-3-28 12:43
BliMSR: Blind Degradation Modelling for?Generating High-Resolution Medical Imagestextures critical for proper diagnosis. This is mainly because they assume specific degradations like bicubic downsampling or Gaussian noise, whereas, in practice, the degradations can be more complex and hence need to be modelled “blindly”. We propose a novel attention-based GAN model for medical i作者: IRATE 時間: 2025-3-28 15:36 作者: Palter 時間: 2025-3-28 22:26 作者: Glaci冰 時間: 2025-3-29 02:40
Can SegFormer be a?True Competitor to?U-Net for?Medical Image Segmentation?+, nnU-Net, V-Net, etc. Vision transformers made a breakthrough in the computer vision world in 2021. Since then, many transformer based architectures or hybrid architectures (combining convolutional blocks and transformer blocks) have been proposed for image segmentation, that are challenging the p作者: Lime石灰 時間: 2025-3-29 07:05
Harnessing the Potential of Deep Learning for Total Shoulder Implant Classification: A Comparative Sfy an implant can lead to significant surgical difficulties with consequent unfavorable outcomes. This paper proposes a novel framework to identify the make and model of seven (7) different total shoulder arthroplasty implants utilizing plain X-ray images and Artificial intelligence. The proposed wo作者: HOWL 時間: 2025-3-29 10:01 作者: transplantation 時間: 2025-3-29 15:20 作者: LIEN 時間: 2025-3-29 15:46
TON-ViT: A Neuro-Symbolic AI Based on?Task Oriented Network with?a?Vision Transformerntegrates a Deep Learning Model with an explicit symbolic manipulation, a task graph. This task graph describes the steps of each trauma resuscitation as denoted by a verb and noun pair. Through this representation, symbolic processing and manipulation on task graphs, we can find stereotypical proce作者: 滴注 時間: 2025-3-29 21:21
A New Similarity Metric for?Deformable Registration of?MALDI–MS and?MRI Imagesof tissues with high specificity, helping to elucidate their metabolic pathways. However, this technique is not necessarily informative about the structural organization of a tissue. Other modalities, such as Magnetic Resonance Imaging (MRI), reveal functional areas in tissue. Images are analyzed jo作者: 首創(chuàng)精神 時間: 2025-3-30 03:03 作者: 作嘔 時間: 2025-3-30 05:27 作者: 辯論 時間: 2025-3-30 11:04 作者: curettage 時間: 2025-3-30 13:17
Ziqi Wen,Qingzhong Wang,Jiang Bian,Xuhong Li,Yi Liu,Haoyi Xiongreaders to know what has been done and how it has been done.The fossil record contains unique long-term insights into how ecosystems form and function which cannot be determined simply by examining modern systems. It also provides a record of endangered species through time, which allow us to make c作者: Noctambulant 時間: 2025-3-30 18:53 作者: Disk199 時間: 2025-3-30 21:25
Florent Grélard,Michael Tuck,Elise Cosenza,David Legland,Marléne Durand,Sylvain Miraux,Nicolas Desbereaders to know what has been done and how it has been done.The fossil record contains unique long-term insights into how ecosystems form and function which cannot be determined simply by examining modern systems. It also provides a record of endangered species through time, which allow us to make c作者: 喚起 時間: 2025-3-31 04:13 作者: acetylcholine 時間: 2025-3-31 08:00
Mostafa A. Hammouda,Marwan Khaled,Hesham Ali,Sahar Selim,Mustafa Elattarreaders to know what has been done and how it has been done.The fossil record contains unique long-term insights into how ecosystems form and function which cannot be determined simply by examining modern systems. It also provides a record of endangered species through time, which allow us to make c
