標題: Titlebook: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis; First International Yipeng Hu,Roxane Licandro,Jordina Torrents B [打印本頁] 作者: calcification 時間: 2025-3-21 16:19
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis影響因子(影響力)
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis影響因子(影響力)學科排名
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis網(wǎng)絡公開度
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis網(wǎng)絡公開度學科排名
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis被引頻次
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis被引頻次學科排名
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis年度引用
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis年度引用學科排名
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis讀者反饋
書目名稱Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis讀者反饋學科排名
作者: Constant 時間: 2025-3-21 22:46
Conference proceedings 2020rnational Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to an online 作者: BLAZE 時間: 2025-3-22 01:05
0302-9743 e 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to 作者: packet 時間: 2025-3-22 06:57 作者: Indecisive 時間: 2025-3-22 10:26
Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain U RMSE and MAE of 9.6 and 12.5 days respectively over the GA range. We explore the robustness of the BNN architecture to invalid input images by testing with (i) a different dataset derived from routine anomaly scanning and (ii) scans of a different fetal anatomy.作者: Fulminate 時間: 2025-3-22 14:57 作者: FOIL 時間: 2025-3-22 17:56
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients made by human experts. Our best model (segmentation-based) achieved a percentage length error of 7.42%, which is approaching the level of inter-observer variability (5.47%–6.34%). To the best of our knowledge, this is the first attempt to measure spleen size in a fully automated way from ultrasound images.作者: acetylcholine 時間: 2025-3-22 23:25 作者: 系列 時間: 2025-3-23 05:26 作者: 巧辦法 時間: 2025-3-23 08:33 作者: MORT 時間: 2025-3-23 11:23 作者: 非秘密 時間: 2025-3-23 16:15
Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks compared to standard single-frame model predictions in a way that is not simply associated to an increase in model size. Additionally, we demonstrate that our approach may be combined with traditional techniques such as active splines to further enhance stability over time.作者: 輕信 時間: 2025-3-23 21:40
Embedding Weighted Feature Aggregation Network with Domain Knowledge Integration for Breast Ultrasouategory information is applied as the classification label. (II) In order to deal with the artifacts in ultrasound, such as posterior shadowing, we conduct Squeeze-and-Excitation (SE) block and aggregation mechanism to compose the up-sampling part in U-Net. (III) We employ the conditional random fie作者: 腫塊 時間: 2025-3-24 00:46
A Curriculum Learning Based Approach to Captioning Ultrasound Imagesasserstein distance for image information and tf-idf metric for text information. The evaluation results show an improvement in all performance metrics when using curriculum learning over stochastic mini-batch training for the individual task of image classification as well as using a dual curriculu作者: buoyant 時間: 2025-3-24 05:33 作者: inundate 時間: 2025-3-24 09:12 作者: 細頸瓶 時間: 2025-3-24 14:01 作者: 離開可分裂 時間: 2025-3-24 15:02
Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learningork is semi-supervised consisting of two major components: 1) a prototypical learning module that learns categorical embeddings implicitly to prevent the model from overfitting; and, 2) a semantic transfer module (to unlabelled data) that performs “temperature modulated” entropy minimization to enco作者: Complement 時間: 2025-3-24 21:15 作者: 小口啜飲 時間: 2025-3-25 00:38
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignmentrates class distribution alignment to transfer semantic knowledge from a source domain to a target domain. We evaluate the proposed method on fetal ultrasound datasets for cross-device image classification. Experimental results demonstrate that the proposed method outperforms the state-of-the-art an作者: WITH 時間: 2025-3-25 04:47 作者: Reclaim 時間: 2025-3-25 08:52
-related diseases. The diseases associated with asbestos have significant medico-legal implications, and there are two chapters dedicated to addressing the issue. More than 190 illustrations complement the text. An invaluable reference for the pathologist, pulmonologist, radiologist, and occupationa作者: 有限 時間: 2025-3-25 14:56
-related diseases. The diseases associated with asbestos have significant medico-legal implications, and there are two chapters dedicated to addressing the issue. More than 190 illustrations complement the text. An invaluable reference for the pathologist, pulmonologist, radiologist, and occupationa作者: coalition 時間: 2025-3-25 17:44
Haixia Wang,Rui Li,Xuan Chen,Bin Duan,Linfewi Xiong,Xin Yang,Haining Fan,Dong Ni-related diseases. The diseases associated with asbestos have significant medico-legal implications, and there are two chapters dedicated to addressing the issue. More than 190 illustrations complement the text. An invaluable reference for the pathologist, pulmonologist, radiologist, and occupationa作者: BOON 時間: 2025-3-25 23:23 作者: 使害怕 時間: 2025-3-26 01:16 作者: Discrete 時間: 2025-3-26 08:06 作者: 印第安人 時間: 2025-3-26 12:25 作者: defile 時間: 2025-3-26 14:28 作者: 旁觀者 時間: 2025-3-26 20:12 作者: 不透明 時間: 2025-3-26 23:54 作者: engender 時間: 2025-3-27 04:53
Lin Zhang,Tiziano Portenier,Christoph Paulus,Orcun Goksel作者: 錫箔紙 時間: 2025-3-27 08:50
Kanta Miura,Koichi Ito,Takafumi Aoki,Jun Ohmiya,Satoshi Kondo作者: Aerophagia 時間: 2025-3-27 10:00
Keshav Bimbraw,Xihan Ma,Ziming Zhang,Haichong Zhang作者: Oligarchy 時間: 2025-3-27 15:13
Yuan Gao,Sridevi Beriwal,Rachel Craik,Aris T. Papageorghiou,J. Alison Noble作者: PATRI 時間: 2025-3-27 18:16 作者: institute 時間: 2025-3-27 22:44
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629395.jpg作者: Protein 時間: 2025-3-28 05:59
https://doi.org/10.1007/978-3-030-60334-2artificial intelligence; bioinformatics; computer vision; deep learning; education; image processing; imag作者: eczema 時間: 2025-3-28 06:52
978-3-030-60333-5Springer Nature Switzerland AG 2020作者: 脊椎動物 時間: 2025-3-28 11:29 作者: FACET 時間: 2025-3-28 17:15
Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis the diagnosis of HE. However, HE mainly occurs in remote pastoral areas, where the economy is underdeveloped, medical conditions are backward, and ultrasound specialists are inadequate. Therefore, it is difficult for patients to receive timely and effective diagnosis and treatment. To address this 作者: LEERY 時間: 2025-3-28 21:01
Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Uoach is the use of a Bayesian Neural Network (BNN), which quantifies uncertainty of the estimated GA. Knowledge of estimated uncertainty is useful in clinical decision-making, and is especially important in ultrasound image analysis where image appearance and quality can naturally vary a lot. A furt作者: B-cell 時間: 2025-3-29 00:13
Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound measurement of optic nerve sheath diameter (ONSD), using ultrasonography, has been shown to be a promising, non-invasive predictor of intracranial pressure (ICP). Unfortunately, the reproducibility and accuracy of this measure depends on the expertise of the sonologist- a requirement that limits th作者: 遵循的規(guī)范 時間: 2025-3-29 03:23
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients children with SCD. If left untreated, splenomegaly can be life-threatening. The current workflow to measure spleen size includes palpation, possibly followed by manual length measurement in 2D ultrasound imaging. However, this manual measurement is dependent on operator expertise and is subject to 作者: 最初 時間: 2025-3-29 09:27 作者: 蛤肉 時間: 2025-3-29 13:18
Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networksper addresses the problem of segmenting guidewires and other thin, flexible devices from 4D ultrasound image sequences acquired during minimally-invasive surgical interventions. We propose a deep learning method based on a recurrent fully convolutional network architecture whose design captures temp作者: 人類 時間: 2025-3-29 18:29 作者: 逗留 時間: 2025-3-29 20:54
A Curriculum Learning Based Approach to Captioning Ultrasound Imagesontaining medical images and corresponding textual descriptions are relatively rare and hence, smaller-sized when compared to the datasets of natural images and their captions. This fact inspired us to develop an approach to train a captioning model suitable for small-sized medical data. Our dataset作者: Gum-Disease 時間: 2025-3-30 00:23 作者: single 時間: 2025-3-30 05:52
Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconsconvolutional neural network (CNN) to estimate the position of a 2D US probe only from US images. Our CNN model consists of two networks: feature extraction and motion estimation. We also introduce the consistency loss function to enforce. Through a set of experiments using US image sequence dataset作者: 琺瑯 時間: 2025-3-30 12:08 作者: 煉油廠 時間: 2025-3-30 15:20 作者: 披肩 時間: 2025-3-30 18:30
Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learningr this scenario. In addition, for deploying deep models on a consumer-grade tablet, it requires models to be efficient computationally. In this paper, we describe a framework for automatic quality assessment of freehand fetal ultrasound video that has been designed and built subject to constraints s作者: 弓箭 時間: 2025-3-30 23:56 作者: crumble 時間: 2025-3-31 03:45
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignmentain adaptation is a promising avenue which transfers knowledge from a source domain to a target domain without using any labels in the target domain. Contemporary techniques focus on extracting domain-invariant features using domain adversarial training. However, these techniques neglect to learn di作者: 加劇 時間: 2025-3-31 06:46
3 chapters, the book begins with background information on the mineralogy of asbestos, occupation and environmental exposure to asbestos, and asbestosis. A detailed discussion on mesothelioma includes a historical background, addresses etiologic considerations and epidemiology, pathologic features, 作者: 庇護 時間: 2025-3-31 11:48 作者: hurricane 時間: 2025-3-31 14:03 作者: 敲竹杠 時間: 2025-3-31 19:57
