標(biāo)題: Titlebook: Ophthalmic Medical Image Analysis; 9th International Wo Bhavna Antony,Huazhu Fu,Yalin Zheng Conference proceedings 2022 The Editor(s) (if a [打印本頁(yè)] 作者: counterfeit 時(shí)間: 2025-3-21 17:45
書目名稱Ophthalmic Medical Image Analysis影響因子(影響力)
書目名稱Ophthalmic Medical Image Analysis影響因子(影響力)學(xué)科排名
書目名稱Ophthalmic Medical Image Analysis網(wǎng)絡(luò)公開度
書目名稱Ophthalmic Medical Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Ophthalmic Medical Image Analysis被引頻次
書目名稱Ophthalmic Medical Image Analysis被引頻次學(xué)科排名
書目名稱Ophthalmic Medical Image Analysis年度引用
書目名稱Ophthalmic Medical Image Analysis年度引用學(xué)科排名
書目名稱Ophthalmic Medical Image Analysis讀者反饋
書目名稱Ophthalmic Medical Image Analysis讀者反饋學(xué)科排名
作者: 內(nèi)部 時(shí)間: 2025-3-21 23:09 作者: Fibrillation 時(shí)間: 2025-3-22 02:21 作者: 門窗的側(cè)柱 時(shí)間: 2025-3-22 07:27
Jun Wu,Mingxin He,Yang Liu,Hanwen Zhang,Jianchun Zhao,Xiaohou Shen,Jiankun Liu,Gang Yang,Xirong Li,D.Kristy Balliet and Brennan Buck are architects and have both worked as assistants to Greg Lynn. This is their ‘visual catalog’ of the Lynn Studio’s work over the last five years. It is a project-based visual catalog of design innovations that were created with Lynn’s students. Each chapter describe作者: 公理 時(shí)間: 2025-3-22 09:08
,AugPaste: One-Shot Anomaly Detection for?Medical Images,models with only normal data. Lacking prior knowledge of true anomalies is the main reason for the limited application of previous anomaly detection methods, especially in the medical image analysis realm. In this work, we propose a one-shot anomaly detection framework, namely AugPaste, that utilize作者: Crepitus 時(shí)間: 2025-3-22 13:55 作者: 基因組 時(shí)間: 2025-3-22 19:32 作者: perpetual 時(shí)間: 2025-3-23 01:12 作者: Mirage 時(shí)間: 2025-3-23 04:19
,Detection of?Diabetic Retinopathy Using Longitudinal Self-supervised Learning,t-specific pathology management. However, conventional approaches for detecting diabetic retinopathy (DR) rarely take advantage of longitudinal information to improve DR analysis. In this work, we investigate the benefit of exploiting self-supervised learning with a longitudinal nature for DR diagno作者: 縮短 時(shí)間: 2025-3-23 05:52 作者: EWER 時(shí)間: 2025-3-23 09:51
,Mapping the?Ocular Surface from?Monocular Videos with?an?Application to?Dry Eye Disease Grading, of DED usually rely on ocular surface analysis through slit-lamp examinations. However, evaluations are subjective and non-reproducible. To improve the diagnosis, we propose to 1) track the ocular surface in 3-D using video recordings acquired during examinations, and 2) grade the severity using re作者: Pert敏捷 時(shí)間: 2025-3-23 17:54 作者: ectropion 時(shí)間: 2025-3-23 19:37
,Localizing Anatomical Landmarks in?Ocular Images Using Zoom-In Attentive Networks,ures. Their locations are elusive and easily confused with the background, and thus precise localization highly depends on the context formed by their surrounding areas. In addition, the required precision is usually higher than segmentation and object detection tasks. Therefore, localization has it作者: 整潔漂亮 時(shí)間: 2025-3-24 02:16 作者: accomplishment 時(shí)間: 2025-3-24 04:54
,Domain Adaptive Retinal Vessel Segmentation Guided by?High-frequency Component,tion algorithm has become one of the research hotspots in the field of medical image processing. However, there are still several unsolved difficulties in this task: the existed methods are too sensitive to the low-frequency noise in the fundus images, and there are few annotated data sets available作者: 寬宏大量 時(shí)間: 2025-3-24 08:30
,Tiny-Lesion Segmentation in?OCT via?Multi-scale Wavelet Enhanced Transformer,allenge to accurately segment retinal lesions in OCT images. This is due to the complicated pathological features of retinal diseases, resulting in severe regional scale imbalance between different lesions, and leading to the problem of target tendency of the network during training, subsequently re作者: 官僚統(tǒng)治 時(shí)間: 2025-3-24 14:42 作者: CRANK 時(shí)間: 2025-3-24 18:47
,Self-supervised Learning for?Anomaly Detection in?Fundus Image, should be well applied to medical data that are not seen. Focusing on a fact that an object photograph consists of reflectance and illumination information, we propose a new data augmentation method that can change illumination information for creating a new fundus image by preserving the reflectan作者: Budget 時(shí)間: 2025-3-24 22:05
,GARDNet: Robust Multi-view Network for?Glaucoma Classification in?Color Fundus Images,iagnostics is carried out when one’s sight has already significantly degraded due to the lack of noticeable symptoms at early stage of the disease. Regular glaucoma screenings of the population shall improve early-stage detection, however the desirable frequency of etymological checkups is often not作者: Ardent 時(shí)間: 2025-3-25 01:39 作者: conference 時(shí)間: 2025-3-25 05:10
Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras, turned on respectively. Due to the influence of the illumination beams, the reflected and scattered light haze are observed in neighboring regions, which results in partial or even complete occlusion of retinal structures. In this paper, we propose a novel template mask based image fusion algorithm作者: 物種起源 時(shí)間: 2025-3-25 08:06 作者: Vertical 時(shí)間: 2025-3-25 14:08 作者: LAVA 時(shí)間: 2025-3-25 19:12
,Dataset and?Evaluation Algorithm Design for?GOALS Challenge,layer segmentation from OCT images and the classification of glaucoma. This paper describes the released 300 circumpapillary OCT images, the baselines of the two sub-tasks, and the evaluation methodology. The GOALS Challenge is accessible at ..作者: insincerity 時(shí)間: 2025-3-25 23:53
Conference proceedings 2022with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022..The 20 papers presented at OMIA 2022 were carefully reviewed and selected from 33 submissions. The papers cover various topics in the field of ophtha作者: collagen 時(shí)間: 2025-3-26 02:37
0302-9743 njunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022..The 20 papers presented at OMIA 2022 were carefully reviewed and selected from 33 submissions. The papers cover various topics in the field作者: TAP 時(shí)間: 2025-3-26 06:58 作者: Fatten 時(shí)間: 2025-3-26 12:17
,Rethinking Retinal Image Quality: Treating Quality Threshold as?a?Tunable Hyperparameter,作者: 取之不竭 時(shí)間: 2025-3-26 13:03 作者: lattice 時(shí)間: 2025-3-26 19:35
,Analysing Optical Coherence Tomography Angiography of?Mid-Life Persons at?Risk of?Developing Alzheince in OCTA retinal phenotypes between participants with and without a high CAIDE (Cardiovascular Risk Factors, Aging, and Dementia score). This investigation explored retinal phenotypes (from OCTA) both cross-sectionally and longitudinally (2 years follow-up) using participants at mid-life from the作者: 首創(chuàng)精神 時(shí)間: 2025-3-26 23:55 作者: Radiation 時(shí)間: 2025-3-27 02:30 作者: DEFER 時(shí)間: 2025-3-27 08:14 作者: 相容 時(shí)間: 2025-3-27 10:43
,Multimodal Information Fusion for?Glaucoma and?Diabetic Retinopathy Classification,and diabetic retinopathy classification, using the public GAMMA dataset (fundus photographs and OCT) and a private dataset of PLEX?Elite 9000 (Carl Zeis Meditec Inc.) OCT angiography acquisitions, respectively. Our hierarchical fusion method performed the best in both cases and paved the way for bet作者: Flu表流動(dòng) 時(shí)間: 2025-3-27 16:44
,Mapping the?Ocular Surface from?Monocular Videos with?an?Application to?Dry Eye Disease Grading,shape of the eye, through semantic segmentation as well as sphere fitting. The achieved tracking errors outperform the state-of-the-art, with a mean Euclidean distance as low as 0.48% of the image width on our test set. This registration improves the DED severity classification by a 0.20 AUC differe作者: 制造 時(shí)間: 2025-3-27 19:03 作者: Monolithic 時(shí)間: 2025-3-28 01:09 作者: 淡紫色花 時(shí)間: 2025-3-28 03:08
Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-oparn the super-resolution mapping. Quantitative analysis using both full-reference and no-reference image quality metrics demonstrates that our approach clearly outperforms the learning-based state-of-the art techniques with statistical significance. Achieving iOCT image quality comparable to preOCT 作者: 清楚 時(shí)間: 2025-3-28 07:02
,Domain Adaptive Retinal Vessel Segmentation Guided by?High-frequency Component, discrepancy between the source domain and target domain retinal images. After that, images produced by the two modules are fed into a multi-input deep segmentation model, and the full utilization of features from different modalities is ensured by the deep supervision mechanism. Experiments prove t作者: 微不足道 時(shí)間: 2025-3-28 12:40
,Tiny-Lesion Segmentation in?OCT via?Multi-scale Wavelet Enhanced Transformer, interpretability while avoiding feature loss, and further enhancing the ability of the network to represent local detailed features. Meanwhile, we also develop a novel multi-scale transformer module to further improve the model’s capacity of extracting the multi-scale long-dependent global features作者: Console 時(shí)間: 2025-3-28 15:38 作者: 自負(fù)的人 時(shí)間: 2025-3-28 20:59
,GARDNet: Robust Multi-view Network for?Glaucoma Classification in?Color Fundus Images,ur . has been successfully tested on Rotterdam EyePACS AIROGS dataset with an AUC of 0.92, and then additionally fine-tuned and tested on RIM-ONE DL dataset with an AUC of 0.9308 outperforming the state-of-the-art of 0.9272. Our code is available on 作者: 使成核 時(shí)間: 2025-3-28 23:05 作者: indignant 時(shí)間: 2025-3-29 05:43
Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras, higher-quality regions from this image pair. Finally, image enhancement in brightness is carried out to further improve final image quality. Experimental results on a variety of wide field fundus image pairs demonstrate that the proposed method is effective, our method increases information entropy作者: 強(qiáng)制性 時(shí)間: 2025-3-29 09:48
Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classificatit gradient inversion attacks pose for reconstructing identifiable retinal fundus images during federated learning-based DR grade classification training. Specifically, a novel metric called “Segmentation Matching Score” (SMS) is proposed to quantify clinically relevant features present in fundus ima作者: 無可爭(zhēng)辯 時(shí)間: 2025-3-29 13:54
Weikai Huang,Yijin Huang,Xiaoying Tang enth?lt es Empfehlungen zur Anwendung in Jugendhilfe und Schule. Alle Durchführungs-, Informations- und Arbeitsmaterialien sowie Pr?sentationen sind auf einer CD-Rom verfügbar..978-3-211-79899-7978-3-211-79900-0作者: 憤慨點(diǎn)吧 時(shí)間: 2025-3-29 18:43 作者: 老人病學(xué) 時(shí)間: 2025-3-29 20:54
Rachid Zeghlache,Pierre-Henri Conze,Mostafa El Habib Daho,Ramin Tadayoni,Pascal Massin,Béatrice Coch作者: defeatist 時(shí)間: 2025-3-30 03:26
Yihao Li,Mostafa El Habib Daho,Pierre-Henri Conze,Hassan Al Hajj,Sophie Bonnin,Hugang Ren,Niranchana作者: 口訣 時(shí)間: 2025-3-30 05:52
Ikram Brahim,Mathieu Lamard,Anas-Alexis Benyoussef,Pierre-Henri Conze,Béatrice Cochener,Divi Cornec,作者: 職業(yè) 時(shí)間: 2025-3-30 10:48 作者: grotto 時(shí)間: 2025-3-30 15:13 作者: 澄清 時(shí)間: 2025-3-30 20:01 作者: 我還要背著他 時(shí)間: 2025-3-30 23:30 作者: Oligarchy 時(shí)間: 2025-3-31 03:39
Huihui Fang,Fei Li,Huazhu Fu,Junde Wu,Xiulan Zhang,Yanwu Xu作者: inculpate 時(shí)間: 2025-3-31 05:05
Ahmed Al-Mahrooqi,Dmitrii Medvedev,Rand Muhtaseb,Mohammad Yaqub作者: 下垂 時(shí)間: 2025-3-31 12:31 作者: 積習(xí)已深 時(shí)間: 2025-3-31 13:23 作者: Lumbar-Stenosis 時(shí)間: 2025-3-31 19:23 作者: Noctambulant 時(shí)間: 2025-4-1 01:19
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/o/image/702386.jpg作者: 煩人 時(shí)間: 2025-4-1 03:34
https://doi.org/10.1007/978-3-031-16525-2Computer Science; Informatics; Conference Proceedings; Research; Applications
