標題: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee [打印本頁] 作者: informed 時間: 2025-3-21 18:38
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡公開度
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡公開度學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋學科排名
作者: constitutional 時間: 2025-3-21 22:56
l norms in a conflict between legal norms and organizational interests. In a conflict between legal norms and professional ethics, the patient‘s welfare and care are primary. The importance of informal norms of the organization is secondary. Transplant physicians and nephrologists differ especially 作者: 反話 時間: 2025-3-22 01:05 作者: cyanosis 時間: 2025-3-22 07:37
Chong Wang,Yuanhong Chen,Yuyuan Liu,Yu Tian,Fengbei Liu,Davis J. McCarthy,Michael Elliott,Helen Frazzugsrechts untersucht und so Ma?st?be zur Auslegung der opferorientierten Vorschriften der Landesstrafvollzugsgesetze entwickelt. Bei der Auslegung der opferorientierten Strafvollzugsvorschriften werden alle 16 Landesstrafvollzugsgesetze einbezogen. Dadurch wird versucht, zahlreiche Fragen zu beantworten, die978-3-658-39043-3978-3-658-39044-0作者: voluble 時間: 2025-3-22 10:57
Ahmed Taha,Yen Nhi Truong Vu,Brent Mombourquette,Thomas Paul Matthews,Jason Su,Sadanand Singh untersucht und so Ma?st?be zur Auslegung der opferorientierten Vorschriften der Landesstrafvollzugsgesetze entwickelt. Bei der Auslegung der opferorientierten Strafvollzugsvorschriften werden alle 16 Landesstrafvollzugsgesetze einbezogen. Dadurch wird versucht, zahlreiche Fragen zu beantworten, die作者: 出血 時間: 2025-3-22 14:20
Maya Gilad,Moti Freiman untersucht und so Ma?st?be zur Auslegung der opferorientierten Vorschriften der Landesstrafvollzugsgesetze entwickelt. Bei der Auslegung der opferorientierten Strafvollzugsvorschriften werden alle 16 Landesstrafvollzugsgesetze einbezogen. Dadurch wird versucht, zahlreiche Fragen zu beantworten, die作者: 膝蓋 時間: 2025-3-22 17:59 作者: MOAT 時間: 2025-3-22 23:24 作者: Grasping 時間: 2025-3-23 04:25 作者: 確定 時間: 2025-3-23 08:22 作者: landmark 時間: 2025-3-23 10:06 作者: 不感興趣 時間: 2025-3-23 16:44 作者: 同時發(fā)生 時間: 2025-3-23 21:48 作者: cancer 時間: 2025-3-24 00:35 作者: calorie 時間: 2025-3-24 05:37 作者: Frisky 時間: 2025-3-24 08:40 作者: 不再流行 時間: 2025-3-24 13:20 作者: 弄臟 時間: 2025-3-24 15:26 作者: GENRE 時間: 2025-3-24 22:49 作者: Manifest 時間: 2025-3-25 03:11 作者: Polydipsia 時間: 2025-3-25 05:54 作者: 泛濫 時間: 2025-3-25 11:34 作者: phytochemicals 時間: 2025-3-25 13:47 作者: 代替 時間: 2025-3-25 17:06
Intra-class Contrastive Learning Improves Computer Aided Diagnosis of?Breast Cancer in?Mammographyview property of mammograms to sample contrastive image pairs. Unlike previous multi-task learning approaches, our method improves cancer detection performance without additional annotations. Experimental results further demonstrate that the proposed losses produce discriminative intra-class feature作者: Crater 時間: 2025-3-25 21:51
BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotationsppearance consistency of the same polyp, an image consistency (IC) loss is designed. Such IC loss explicitly narrows the distance between features extracted by two different networks, which improves the robustness of the model. Note that our BoxPolyp is a plug-and-play model, which can be merged int作者: 賠償 時間: 2025-3-26 01:45
FFCNet: Fourier Transform-Based Frequency Learning and?Complex Convolutional Network for?Colon Disea Moreover, the image patch scrambling module in FFCNet generates random local spectral blocks, empowering the network to learn long-range and local disease-specific features and improving the discriminative ability of hard samples. We evaluated the proposed FFCNet on an in-house dataset with 2568 co作者: tooth-decay 時間: 2025-3-26 07:18
Contrastive Transformer-Based Multiple Instance Learning for?Weakly Supervised Polyp Frame Detectiono and snippet-level anomaly scores. A contrastive snippet mining method is also proposed to enable an effective modelling of the challenging polyp cases. The resulting method achieves a detection accuracy that is substantially better than current state-of-the-art approaches on a new large-scale colo作者: 前奏曲 時間: 2025-3-26 09:40
Lesion-Aware Dynamic Kernel for?Polyp Segmentationhe extracted lesion representation to enhance the feature contrast between the polyp and background regions by a tailored lesion-aware cross-attention module (LCA), and design an efficient self-attention module (ESA) to capture long-range context relations, further improving the segmentation accurac作者: discord 時間: 2025-3-26 14:44
Stepwise Feature Fusion: Local Guides Globalrogressive Locality Decoder can be adapted to the pyramid Transformer backbone to emphasize local features and restrict attention dispersion. The SSFormer achieves state-of-the-art performance in both learning and generalization assessment.作者: gratify 時間: 2025-3-26 20:15 作者: MOTTO 時間: 2025-3-26 21:12
Toward Clinically Assisted Colorectal Polyp Recognition via?Structured Cross-Modal Representation Co token and patch tokens for a specific modality image. By aligning the class tokens and spatial attention maps of paired NBI and WL images at different levels, the Transformer achieves the ability to keep both global and local representation consistency for the above two modalities. Extensive experi作者: Ganglion 時間: 2025-3-27 04:27
TGANet: Text-Guided Attention for?Improved Polyp Segmentationrove the overall performance of the model compared to state-of-the-art segmentation methods. We explore four different datasets and provide insights for size-specific improvements. Our proposed . (TGANet) can generalize well to variable-sized polyps in different datasets. Codes are available at ..作者: 使虛弱 時間: 2025-3-27 08:15 作者: GLUT 時間: 2025-3-27 13:10
0302-9743 ational Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022..The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in作者: Vaginismus 時間: 2025-3-27 16:45 作者: 咯咯笑 時間: 2025-3-27 21:45 作者: MOTIF 時間: 2025-3-27 22:25
Deep is a?Luxury We Don’t Haveer cost. We evaluate HCT using a high resolution mammography dataset. HCT is significantly superior to its CNN counterpart. Furthermore, we demonstrate HCT’s fitness for medical images by evaluating its effective receptive field. Code available at ..作者: Hallmark 時間: 2025-3-28 02:37
Stay Focused - Enhancing Model Interpretability Through Guided Feature Trainingnable AI methods, we propose a new metric evaluating the focus with regards to a mask of the region of interest. Further, we are able to show that the resulting model is more robust against changes in the background by focusing the features onto the important areas of the scene and therefore improve model generalization.作者: 禁止 時間: 2025-3-28 10:20 作者: lethal 時間: 2025-3-28 11:17
Knowledge Distillation to?Ensemble Global and?Interpretable Prototype-Based Mammogram Classification with limited interpretability, which is a key barrier to their successful translation into clinical practice. On the other hand, prototype-based models improve interpretability by associating predictions with training image prototypes, but they are less accurate than global models and their prototy作者: 光明正大 時間: 2025-3-28 17:30 作者: 不整齊 時間: 2025-3-28 20:12 作者: 牛的細微差別 時間: 2025-3-28 23:14
Transformer Based Multi-view Network for Mammographic Image Classificationny features fusion methods. However, concatenation based methods can’t extract cross view information very effectively because different views are likely to be unaligned. Recently, many researchers have attempted to introduce attention mechanism related methods into the field of multi-view mammograp作者: hermetic 時間: 2025-3-29 06:53
Intra-class Contrastive Learning Improves Computer Aided Diagnosis of?Breast Cancer in?Mammographyerature suggests that a similar strategy works for Computer Aided Diagnosis (CAD) models; multi-task learning with radiological and patient features as auxiliary classification tasks improves the model performance in breast cancer detection. Unfortunately, the additional labels that these learning p作者: 使殘廢 時間: 2025-3-29 09:49 作者: 行乞 時間: 2025-3-29 13:24 作者: heterogeneous 時間: 2025-3-29 18:47
Contrastive Transformer-Based Multiple Instance Learning for?Weakly Supervised Polyp Frame Detectionoral information in consecutive video frames, and ii) lack knowledge about the polyps. Consequently, they often have high detection errors, especially on challenging polyp cases (e.g., small, flat, or partially visible polyps). In this work, we formulate polyp detection as a weakly-supervised anomal作者: Provenance 時間: 2025-3-29 22:45
Lesion-Aware Dynamic Kernel for?Polyp Segmentation due to 1)?the diverse shape, size, brightness and other appearance characteristics of polyps, 2)?the tiny contrast between concealed polyps and their surrounding regions. To address these problems, we propose a lesion-aware dynamic network (LDNet) for polyp segmentation, which is a traditional u-sh作者: Resistance 時間: 2025-3-30 02:08
Stepwise Feature Fusion: Local Guides Globalal cancer. However, due to the varying size and complex morphological features of colonic polyps as well as the indistinct boundary between polyps and mucosa, accurate segmentation of polyps is still challenging. Deep learning has become popular for accurate polyp segmentation tasks with excellent r作者: Aspiration 時間: 2025-3-30 06:28 作者: Exposition 時間: 2025-3-30 09:30
On the?Uncertain Single-View Depths in?Colonoscopiesasurement of tumors, or identification of non-inspected areas. As the domain specificity of colonoscopies –deformable low-texture environments with fluids, poor lighting conditions and abrupt sensor motions– pose challenges to multi-view 3D reconstructions, single-view depth learning stands out as a作者: 疼死我了 時間: 2025-3-30 14:27
Toward Clinically Assisted Colorectal Polyp Recognition via?Structured Cross-Modal Representation Cohms recognize colorectal polyps by adopting Narrow-Band Imaging (NBI). However, the NBI usually suffers from missing utilization in real clinic scenarios since the acquisition of this specific image requires manual switching of the light mode when polyps have been detected by using White-Light (WL) 作者: ATP861 時間: 2025-3-30 16:41 作者: canonical 時間: 2025-3-30 21:36
SATr: Slice Attention with?Transformer for?Universal Lesion Detectionby multi-slice-input detection approaches which model 3D context from multiple adjacent CT slices, but such methods still experience difficulty in obtaining a global representation among different slices and within each individual slice since they only use convolution-based fusion operations. In thi作者: 嫻熟 時間: 2025-3-31 04:34 作者: heterogeneous 時間: 2025-3-31 07:12
n professional ethics, the patient‘s wishes and behavior, legal norms, and unwritten or formal rules of the organization. Such dilemma situations may lead to delinquency such as the manipulation of data and the alteration of medication to influence the ranking of allocation of a donor organ in patie作者: GNAT 時間: 2025-3-31 10:39 作者: Angiogenesis 時間: 2025-3-31 14:15
Chong Wang,Yuanhong Chen,Yuyuan Liu,Yu Tian,Fengbei Liu,Davis J. McCarthy,Michael Elliott,Helen FrazIm Strafvollzugsgesetz des Bundes spielte die Opferorientierung gleichwohl eine untergeordnete Rolle. Erst mit den nach der F?deralismusreform von 2006 erlassenen Landesstrafvollzugsgesetzen wurde die Opferorientierung umfangreich in das Strafvollzugsrecht einbezogen. Durch die Berücksichtigung von 作者: disparage 時間: 2025-3-31 19:01
Ahmed Taha,Yen Nhi Truong Vu,Brent Mombourquette,Thomas Paul Matthews,Jason Su,Sadanand Singhllzugsgesetz des Bundes spielte die Opferorientierung gleichwohl eine untergeordnete Rolle. Erst mit den nach der F?deralismusreform von 2006 erlassenen Landesstrafvollzugsgesetzen wurde die Opferorientierung umfangreich in das Strafvollzugsrecht einbezogen. Durch die Berücksichtigung von Opferinter作者: cumber 時間: 2025-4-1 00:23 作者: Aphorism 時間: 2025-4-1 03:07
Kai-Ni Wang,Yuting He,Shuaishuai Zhuang,Juzheng Miao,Xiaopu He,Ping Zhou,Guanyu Yang,Guang-Quan Zhoumit einen Beitrag zur Integration dieser ansonsten oft empiristischen Forschung in die st?rker theorieorientierte Soziologie. Er schl?gt vor, (Kriminal-)Polizeien als Fall?.misstrauischer Sozialsysteme?.zu analysieren. Wie beispielsweise auch Geheimdienste oder der Investigativjournalismus sind sie 作者: 無表情 時間: 2025-4-1 06:12
Yu Tian,Guansong Pang,Fengbei Liu,Yuyuan Liu,Chong Wang,Yuanhong Chen,Johan Verjans,Gustavo Carneironander verbunden, das in diesem Kapitel unter Bezugnahme auf Autoren wie Herbert Blumer, Talcott Parsons oder Robert K. Merton expliziert wird. Theoriearbeit, etwa in Form der Explikation von Begriffen, ist diesem Verst?ndnis nach konstitutiv für empirische Forschung, insofern sie diese zum einen mi作者: Immunization 時間: 2025-4-1 11:42
Ruifei Zhang,Peiwen Lai,Xiang Wan,De-Jun Fan,Feng Gao,Xiao-Jian Wu,Guanbin Liielen auf die Analyse der Aktivit?ten solcher Mitglieder eines sozialen Systems, die im Auftrag ihres Entsendesystems, zum Beispiel einer Polizeibeh?rde, in Kontakt mit Nichtmitgliedern des Systems treten, zum Beispiel mit Bürgern w?hrend einer Verkehrskontrolle oder einer Beschuldigtenvernehmung. I
