標題: Titlebook: Lesion Segmentation in Surgical and Diagnostic Applications; MICCAI 2022 Challeng Yiming Xiao,Guanyu Yang,Shuang Song Conference proceeding [打印本頁] 作者: 時間 時間: 2025-3-21 18:40
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications影響因子(影響力)
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications影響因子(影響力)學(xué)科排名
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications網(wǎng)絡(luò)公開度
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications被引頻次
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications被引頻次學(xué)科排名
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications年度引用
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications年度引用學(xué)科排名
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications讀者反饋
書目名稱Lesion Segmentation in Surgical and Diagnostic Applications讀者反饋學(xué)科排名
作者: 培養(yǎng) 時間: 2025-3-21 20:59 作者: 反叛者 時間: 2025-3-22 03:08
Mostafa Sharifzadeh,Habib Benali,Hassan Rivazhow that the constant dialysate temperature affects the patient’s quality of life due to their different temperature threshold. Thus, these factors serve as a motivation factor to design an individualized dialysate temperature control for hemodialysis patients, which can actively control the body te作者: 詼諧 時間: 2025-3-22 08:20
strates how hybrid evolutionary algorithms and some new appr.As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management作者: watertight, 時間: 2025-3-22 12:39
Michael Baumgartner,Peter M. Full,Klaus H. Maier-Heinstrates how hybrid evolutionary algorithms and some new appr.As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management作者: 衰老 時間: 2025-3-22 15:30 作者: 聲音刺耳 時間: 2025-3-22 19:18
A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA ImA) images has great clinical significance in clinical diagnosis. In this work, we designed a network architecture based on 3D U-Net and introduced the residual block into network architecture for renal cancer structure segmentation in CTA images. In the network architecture we designed, the multi-sc作者: 噴油井 時間: 2025-3-23 01:13 作者: JOT 時間: 2025-3-23 03:15
A CNN-Based Multi-stage Framework for?Renal Multi-structure Segmentationney, renal tumor, renal vein and renal artery helps clinicians make accurate preoperative planning. In this paper, we utilize a modified nnU-Net named nnHra-Net network, and propose a multi-stage framework with coarse-to-fine and ensemble learning strategy to precisely segment the multi-structure of作者: 改良 時間: 2025-3-23 07:05
CANet: Channel Extending and?Axial Attention Catching Network for?Multi-structure Kidney Segmentatioe distressing to the patient. Some surgery-based renal cancer treatments like laparoscopic partial nephrectomy relys on the 3D kidney parsing on computed tomography angiography (CTA) images. Many automatic segmentation techniques have been put forward to make multi-structure segmentation of the kidn作者: arrogant 時間: 2025-3-23 11:58
Automated 3D Segmentation of?Renal Structures for?Renal Cancer Treatmentry-based renal cancer treatment. In this work, we describe our approach for 3D segmentation of renal vein, kidney, renal artery, and tumor from the KiPA 2022 dataset. We used the MONAI framework and the SegResNet architecture with a combination of Dice Focal loss and L2 regularization. We applied va作者: reflection 時間: 2025-3-23 17:43 作者: Cytokines 時間: 2025-3-23 19:25 作者: 碎片 時間: 2025-3-24 00:53 作者: Lipohypertrophy 時間: 2025-3-24 04:14 作者: 誘騙 時間: 2025-3-24 08:12
Accurate Detection of?Mediastinal Lesions with?nnDetectionsion of the self-configuring method nnDetection to the Mediastinal Lesion Analysis (MELA) Challenge 2022. By incorporating automatically generated pseudo masks, training high capacity models with large patch sizes in a multi GPU setup and an adapted augmentation scheme to reduce localization errors 作者: excursion 時間: 2025-3-24 14:37 作者: Outshine 時間: 2025-3-24 18:54 作者: Efflorescent 時間: 2025-3-24 19:29
Ultrasound Segmentation Using a?2D UNet with?Bayesian Volumetric Supportlumetric support to improve the accuracy of the segmentation of the query slice. Our results show that our proposed architecture achieves an 0.04 increase in the validation dice score compared to the benchmark network.作者: 連累 時間: 2025-3-25 00:14 作者: 撫慰 時間: 2025-3-25 04:58
Conference proceedings 2023following three challenges:?.Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022) .The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022) .The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022).作者: ANT 時間: 2025-3-25 11:19
0302-9743 omputer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022.?.The peer-reviewed 10 papers included in this volume stem from the following three challenges:?.Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022) .The 2022 Co作者: 包庇 時間: 2025-3-25 13:55 作者: 最初 時間: 2025-3-25 16:46 作者: Cardiac 時間: 2025-3-25 23:34
Accurate Detection of?Mediastinal Lesions with?nnDetectioncaused by rotations, our method achieved an excellent FROC score of 0.9922 at IoU 0.10 and 0.9880 at IoU 0.3 in our cross-validation experiments. The submitted ensemble ranked third in the competition with a FROC score of 0.9897 on the MELA challenge leaderboard.作者: CLOWN 時間: 2025-3-26 00:10 作者: addict 時間: 2025-3-26 08:13
https://doi.org/10.1007/978-3-031-27324-7anomaly localization; artificial intelligence; computer vision; segmentation methods; image analysis; ima作者: 呼吸 時間: 2025-3-26 09:23 作者: 去掉 時間: 2025-3-26 16:39 作者: 抒情短詩 時間: 2025-3-26 20:22 作者: Lymphocyte 時間: 2025-3-27 00:57
Md Mahfuzur Rahman Siddiquee,Dong Yang,Yufan He,Daguang Xu,Andriy Myronenko作者: 愉快么 時間: 2025-3-27 01:14 作者: 卡死偷電 時間: 2025-3-27 06:11 作者: Mortal 時間: 2025-3-27 10:16 作者: 臥虎藏龍 時間: 2025-3-27 17:37 作者: dagger 時間: 2025-3-27 21:46
A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA Imved the state-of-the-art, also Dice Similarity Coefficient (DSC) and Average Hausdorff Distance (AVD) of renal artery. According to the results in the KiPA22 challenge, our method have a better segmentation performance in CTA images.作者: 典型 時間: 2025-3-27 23:24
Boundary-Aware Network for?Kidney Parsinge are used as attention to enhance the segmentation feature maps. We evaluated the BA-Net on the Kidney PArsing (KiPA) Challenge dataset and achieved an average Dice score of 89.65. for kidney structures segmentation on CTA scans using 4-fold cross-validation. The results demonstrate the effectivene作者: 表主動 時間: 2025-3-28 03:34
CANet: Channel Extending and?Axial Attention Catching Network for?Multi-structure Kidney Segmentatioation. Our solution is founded based on the thriving nn-UNet architecture. Firstly, by extending the channel size, we propose a larger network, which can provide a broader perspective, facilitating the extraction of complex structural information. Secondly, we include an axial attention catching(AAC作者: 狂熱語言 時間: 2025-3-28 07:34
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model witthis encoder as a pre-trained weight for the Intra-operative ultrasound (iUS) segmentation. In the second stage, the pre-trained weighted-based 3DResUNet proposed model was used to train on the training dataset for iUS segmentation. Experiment on CuRIOUS -22 challenge showed that our proposed soluti作者: 安慰 時間: 2025-3-28 10:36 作者: conflate 時間: 2025-3-28 17:01 作者: 離開可分裂 時間: 2025-3-28 21:59 作者: exhilaration 時間: 2025-3-29 00:33 作者: 殘忍 時間: 2025-3-29 05:12
and lecturers, .Intelligent Energy Demand Forecasting. helps to develop the skills and methods?to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools..978-1-4471-5930-8978-1-4471-4968-2Series ISSN 2195-1284 Series E-ISSN 2195-1292 作者: 拋媚眼 時間: 2025-3-29 09:18 作者: Legend 時間: 2025-3-29 11:24
