標(biāo)題: Titlebook: Kidney and Kidney Tumor Segmentation; MICCAI 2023 Challeng Nicholas Heller,Andrew Wood,Christopher Weight Conference proceedings 2024 The E [打印本頁(yè)] 作者: Stenosis 時(shí)間: 2025-3-21 17:38
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation影響因子(影響力)
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation被引頻次
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation被引頻次學(xué)科排名
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation年度引用
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation年度引用學(xué)科排名
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation讀者反饋
書(shū)目名稱(chēng)Kidney and Kidney Tumor Segmentation讀者反饋學(xué)科排名
作者: VEIL 時(shí)間: 2025-3-21 23:03 作者: NUL 時(shí)間: 2025-3-22 04:15
,Dynamic Resolution Network for?Kidney Tumor Segmentation,nd radiological analysis. However, the task is challenging due to the considerable variation in tumor scales between different cases, which is not effectively addressed by conventional segmentation methods. In this paper, we propose a method called dynamic resolution that addresses this issue by dyn作者: CHARM 時(shí)間: 2025-3-22 04:47
,Analyzing Domain Shift When Using Additional Data for?the?MICCAI KiTS23 Challenge,l and the model needs to generalize well from few available data. Unlike transfer learning in which a model pretrained on huge datasets is fine-tuned for a specific task using limited data, we research the case in which we acquire supplementary training material and combine it with the original trai作者: 不開(kāi)心 時(shí)間: 2025-3-22 09:49
,A Hybrid Network Based on?nnU-Net and?Swin Transformer for?Kidney Tumor Segmentation,tment of kidney cancer. Deep learning-based automatic medical image segmentation can help to confirm the diagnosis. The traditional 3D nnU-net based on convolutional layers is widely used in medical image segmentation. However, the fixed receptive field of convolutional neural networks introduces an作者: Lyme-disease 時(shí)間: 2025-3-22 14:26 作者: 笨拙處理 時(shí)間: 2025-3-22 19:55 作者: notice 時(shí)間: 2025-3-23 00:34 作者: STERN 時(shí)間: 2025-3-23 03:30
,Two-Stage Segmentation and?Ensemble Modeling: Kidney Tumor Analysis in?CT Images,latform, our research introduces a two-stage strategy combining the strengths of nnU-Net and nnFormer for enhanced tumor segmentation. Our approach focuses on the kidney region, facilitating the learning of tumor-influenced areas, and employs an ensemble of two nnU-Net models for precise segmentatio作者: Subjugate 時(shí)間: 2025-3-23 05:53
,GSCA-Net: A Global Spatial Channel Attention Network for?Kidney, Tumor and?Cyst Segmentation,chitecture as the pre-processing method to extract the region of interest (ROI) and segment the kidney. Then, we propose Global Spatial Channel Attention Network (GSCA-Net) with global spatial attention (GSA) and global channel attention (GCA) for the segmentation of tumors and cysts. Global spatial作者: 不舒服 時(shí)間: 2025-3-23 11:18 作者: 搖曳的微光 時(shí)間: 2025-3-23 17:11
,Two-Stage Segmentation Framework with?Parallel Decoders for?the?Kidney and?Kidney Tumor Segmentatio to assist doctors in diagnosis. However, the diverse morphologies of tumors and cysts pose challenges regarding their difficult identification and unpredictable behavior. This paper proposes a two-stage segmentation method, proceeding from coarse to fine. In the first stage, we obtain the kidney re作者: TEN 時(shí)間: 2025-3-23 21:30
,3d U-Net with?ROI Segmentation of?Kidneys and?Masses in?CT Scans,using methods to first isolate the region of interest of the kidneys, then to segment the kidney and its masses. We used the TotalSegmentator tool to obtain a rough segmentation of the kidneys, then during pre-processing, expanded this region of interest by 18 pixels. This new region of interest was作者: Leaven 時(shí)間: 2025-3-24 01:05 作者: Musket 時(shí)間: 2025-3-24 02:35 作者: 枯萎將要 時(shí)間: 2025-3-24 06:50 作者: 有助于 時(shí)間: 2025-3-24 12:28 作者: shrill 時(shí)間: 2025-3-24 18:06 作者: 報(bào)復(fù) 時(shí)間: 2025-3-24 19:02 作者: 紅潤(rùn) 時(shí)間: 2025-3-24 23:16 作者: graphy 時(shí)間: 2025-3-25 04:23 作者: Rejuvenate 時(shí)間: 2025-3-25 07:47
Lifei Qian,Ling Luo,Yuanhong Zhong,Daidi Zhongsical implication and play a similar important role in Fuzzy Logic (FL), both in FL_n and FL_w in the sense of Zadeh. Their importance in applications of FL, viz., Approximate Reasoning (AR), Decision Support Systems, Fuzzy Control (FC), etc., is hard to exaggerate. This treatise is perhaps the firs作者: Cupping 時(shí)間: 2025-3-25 12:43
Zohaib Salahuddin,Sheng Kuang,Philippe Lambin,Henry C. Woodruffse of Zadeh. Their importance in applications of FL, viz., Approximate Reasoning (AR), Decision Support Systems, Fuzzy Control (FC), etc., is hard to exaggerate. This treatise is perhaps the first attempt at dealing exclusively with this class of operations. ..The book begins with an introduction to作者: 協(xié)奏曲 時(shí)間: 2025-3-25 16:47
Cancan Chen,Rongguo Zhangsical implication and play a similar important role in Fuzzy Logic (FL), both in FL_n and FL_w in the sense of Zadeh. Their importance in applications of FL, viz., Approximate Reasoning (AR), Decision Support Systems, Fuzzy Control (FC), etc., is hard to exaggerate. This treatise is perhaps the firs作者: Plaque 時(shí)間: 2025-3-25 20:40
Joffrey Michaud,Tewodros Weldebirhan Arega,Stephanie Bricqse of Zadeh. Their importance in applications of FL, viz., Approximate Reasoning (AR), Decision Support Systems, Fuzzy Control (FC), etc., is hard to exaggerate. This treatise is perhaps the first attempt at dealing exclusively with this class of operations. ..The book begins with an introduction to作者: Cytokines 時(shí)間: 2025-3-26 01:05
Connor Mitchell,Shuwei Xing,Aaron Fensteris, hepatocellular carcinoma, liver failure and mature death will be occurred. Among different types of this disease, hepatitis C arises from HCV viruses, is the leading cause of liver disease. Although hepatitis C can be easily diagnosed by a simple test, the intensity rate of this disease is a qua作者: Thyroxine 時(shí)間: 2025-3-26 06:08 作者: febrile 時(shí)間: 2025-3-26 12:10 作者: AXIS 時(shí)間: 2025-3-26 15:17
Yaqi Wang,Yu Dai,Jianxun Zhang,Jingjing Yinre many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence,作者: FECT 時(shí)間: 2025-3-26 19:58
Kartik Narayan Sahoo,Kumaradevan Punithakumarre many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence,作者: 半圓鑿 時(shí)間: 2025-3-26 23:38
Antonio Vispire many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence,作者: gorgeous 時(shí)間: 2025-3-27 05:09
Duho Lee,Heeyeon Choiy, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial int作者: Cognizance 時(shí)間: 2025-3-27 05:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/k/image/542691.jpg作者: lavish 時(shí)間: 2025-3-27 10:03
Attention U-Net for Kidney and Masses,We proposed new attention method using attention- unet architectures that reflects the 3d axial information to learn the spatial features of 3D images. It showed better performance than baseline unet.作者: ostrish 時(shí)間: 2025-3-27 14:59 作者: Decibel 時(shí)間: 2025-3-27 19:00
Kidney and Kidney Tumor Segmentation978-3-031-54806-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 冒失 時(shí)間: 2025-3-27 23:26 作者: overture 時(shí)間: 2025-3-28 02:50 作者: 代理人 時(shí)間: 2025-3-28 09:54
,Using Uncertainty Information for?Kidney Tumor Segmentation,t tool to develop. In this paper, we used a two stages pipeline to get the segmentation of kidney, tumor and cyst. The first stage is used to segment the kidney region to allow us to crop the data. The second stage leverages uncertainty using Monte-Carlo dropout during training by introducing an uncertainty estimate term in the loss function.作者: Creditee 時(shí)間: 2025-3-28 14:25 作者: 使混合 時(shí)間: 2025-3-28 15:08 作者: Basilar-Artery 時(shí)間: 2025-3-28 22:15
Zohaib Salahuddin,Sheng Kuang,Philippe Lambin,Henry C. Woodrufflights the effecting role FIs with their myriad properties play in the inference schemes in AR. ..This book is intended for any researcher in FL operations and it can serve as an auxiliary textbook for different courses on FL or FC. Parts of this book may also be of interest to practitioners in appl作者: 擁擠前 時(shí)間: 2025-3-28 23:32
Joffrey Michaud,Tewodros Weldebirhan Arega,Stephanie Bricqlights the effecting role FIs with their myriad properties play in the inference schemes in AR. ..This book is intended for any researcher in FL operations and it can serve as an auxiliary textbook for different courses on FL or FC. Parts of this book may also be of interest to practitioners in appl作者: allergy 時(shí)間: 2025-3-29 04:50 作者: 競(jìng)選運(yùn)動(dòng) 時(shí)間: 2025-3-29 09:20 作者: Aggrandize 時(shí)間: 2025-3-29 14:39
Konstantinos Koukoutegos,Frederik Maes,Hilde Bosmanses a PD control of commanded airspeed, bank angle, and flight path angle obtained for desired path variables - airspeed, heading, and altitude which in turn are obtained using lookahead point generated for given waypoints. The optimized FIS mimics the pilot behavior during collision scenarios to pro作者: 鬼魂 時(shí)間: 2025-3-29 17:35
Yaqi Wang,Yu Dai,Jianxun Zhang,Jingjing Yinsoftware terms can help find software components and ultimately help increase the reuse of software. This is just one practical application of IR that is covered in this book...Some of the classical models of IR is presented as a contrast to extending the Boolean model. This includes a brief mention作者: 愛(ài)了嗎 時(shí)間: 2025-3-29 23:45 作者: alcoholism 時(shí)間: 2025-3-30 01:54 作者: 諄諄教誨 時(shí)間: 2025-3-30 07:17 作者: 自作多情 時(shí)間: 2025-3-30 08:38 作者: 健壯 時(shí)間: 2025-3-30 13:47 作者: 繁重 時(shí)間: 2025-3-30 16:39 作者: jaundiced 時(shí)間: 2025-3-30 23:35 作者: 復(fù)習(xí) 時(shí)間: 2025-3-31 03:01
,Cascaded nnU-Net for?Kidney and?Kidney Tumor Segmentation,of kidney tumors and cysts. Furthermore, to tackle the inherent challenge of class imbalance, Focal Loss is employed as a mitigation strategy. The network achieved average S?rensen-Dice scores of 0.933, 0.709, and 0.645 for the classes kidney, masses and tumor respectively. Similarly, the average su作者: 首創(chuàng)精神 時(shí)間: 2025-3-31 06:36 作者: patriarch 時(shí)間: 2025-3-31 11:31 作者: insurrection 時(shí)間: 2025-3-31 15:36
Cancan Chen,Rongguo Zhangad properties play in the inference schemes in AR. ..This book is intended for any researcher in FL operations and it can serve as an auxiliary textbook for different courses on FL or FC. Parts of this book may also be of interest to practitioners in appl978-3-642-08861-2978-3-540-69082-5Series ISSN 1434-9922 Series E-ISSN 1860-0808 作者: 思考才皺眉 時(shí)間: 2025-3-31 18:18
Duho Lee,Heeyeon Choiof IR that is covered in this book...Some of the classical models of IR is presented as a contrast to extending the Boolean model. This includes a brief mention978-3-031-01179-5978-3-031-02307-1Series ISSN 1947-945X Series E-ISSN 1947-9468
