Suchergebnisse - multiple-(instance OR instalacie) learning algorithms

Incomplete Label Multiple Instance Multiple Label Learning von Nguyen, Tam, Raich, Raviv

“… To alleviate this issue, various reduced label settings have been considered including semi-supervised learning, partial- or incomplete-label learning, multiple-instance learning, and active learning …”
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Multiple-Instance Learning for Medical Image and Video Analysis von Quellec, Gwenole, Cazuguel, Guy, Cochener, Beatrice, Lamard, Mathieu

“… Multiple-instance learning (MIL) is a recent machine-learning paradigm that is particularly well suited to medical image and video analysis (MIVA) tasks …”
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Classifying and segmenting microscopy images with deep multiple instance learning von Kraus, Oren Z., Ba, Jimmy Lei, Frey, Brendan J.

“… Here we develop an approach that combines deep convolutional neural networks (CNNs) with multiple instance learning (MIL …”
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MILES: Multiple-Instance Learning via Embedded Instance Selection von Yixin Chen, Jinbo Bi, Wang, J.Z.

“… ), instead of individual samples within each bag (called instances). Most previous multiple-instance learning (MIL …”
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Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning von Han, Zhongyi, Wei, Benzheng, Hong, Yanfei, Li, Tianyang, Cong, Jinyu, Zhu, Xue, Wei, Haifeng, Zhang, Wei

“… We propose an attention-based deep 3D multiple instance learning (AD3D-MIL) where a patient-level …”
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MILIS: Multiple Instance Learning with Instance Selection von Fu, Zhouyu, Robles-Kelly, Antonio, Zhou, Jun

“… Multiple instance learning (MIL) is a paradigm in supervised learning that deals with the classification of collections of instances called bags …”
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Robust Object Tracking with Online Multiple Instance Learning von Babenko, B., Ming-Hsuan Yang, Belongie, S.

“… In this paper, we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of …”
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Fast Bundle Algorithm for Multiple-Instance Learning von Bergeron, C., Moore, G., Zaretzki, J., Breneman, C. M., Bennett, K. P.

“… We present a bundle algorithm for multiple-instance classification and ranking. These frameworks yield improved models on many problems possessing special structure …”
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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis von Cheplygina, Veronika, de Bruijne, Marleen, Pluim, Josien P.W.

“… We give an overview of semi-supervised, multiple instance, and transfer learning in medical imaging, both in diagnosis or segmentation …”
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CAMIL: channel attention-based multiple instance learning for whole slide image classification von Mao, Jinyang, Xu, Junlin, Tang, Xianfang, Liu, Yongjin, Zhao, Heaven, Tian, Geng, Yang, Jialiang

“… Multiple instance learning (MIL) provides a robust framework for analyzing whole slide images with slide-level labels at gigapixel resolution …”
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Theory and Algorithms for Shapelet-Based Multiple-Instance Learning von Suehiro, Daiki, Hatano, Kohei, Takimoto, Eiji, Yamamoto, Shuji, Bannai, Kenichi, Takeda, Akiko

“… We propose a new formulation of multiple-instance learning (MIL), in which a unit of data consists of a set of instances called a bag …”
Weitere Angaben

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need von Qu, Linhao, Ma, Yingfan, Luo, Xiaoyuan, Guo, Qinhao, Wang, Manning, Song, Zhijian

“… Weakly supervised whole slide image classification is usually formulated as a multiple instance learning (MIL …”
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Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification von Liu, Pei, Ji, Luping, Zhang, Xinyu, Ye, Feng

“… Given the special situation of modeling gigapixel images, multiple instance learning (MIL …”
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Real-time visual tracking via online weighted multiple instance learning von Zhang, Kaihua, Song, Huihui

“… Multiple instance learning (MIL) method is recently introduced into the tracking task, which can alleviate drift to some extent …”
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Acoustic COVID-19 Detection Using Multiple Instance Learning von Reiter, Michael, Pernkopf, Franz

“… Subsequently, a Multiple Instance Learning (MIL) model based on self-attention is incorporated to make collective predictions for multiple time segments within each audio recording, taking advantage of longer durations …”
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ECG Analysis Using Multiple Instance Learning for Myocardial Infarction Detection von Sun, Li, Lu, Yanping, Yang, Kaitao, Li, Shaozi

“… In this paper, we first discuss the rationale for applying multiple instance learning (MIL) to automated ECG classification and then propose a new MIL strategy called latent …”
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Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images von Wang, Zhenzhen, Saoud, Carla, Wangsiricharoen, Sintawat, James, Aaron W., Popel, Aleksander S., Sulam, Jeremias

“… Annotating cancerous regions in whole-slide images (WSIs) of pathology samples plays a critical role in clinical diagnosis, biomedical research, and machine learning algorithms development …”
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Multiple Instance Learning with Genetic Pooling for medical data analysis von Bhattacharjee, Kamanasish, Pant, Millie, Zhang, Yu-Dong, Satapathy, Suresh Chandra

“… •First approach in designing Multiple Instance Pooling function through metaheuristics i.e. Genetic algorithm …”
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Disentangled Pseudo-Bag Augmentation for Whole Slide Image Multiple Instance Learning von Dong, Jiuyang, Jiang, Junjun, Jiang, Kui, Li, Jiahan, Cai, Linghan, Zhang, Yongbing

“… As the predominant approach for pathological whole slide image (WSI) classification, multiple instance learning (MIL …”
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Multiple instance learning for classification of dementia in brain MRI von Tong, Tong, Wolz, Robin, Gao, Qinquan, Guerrero, Ricardo, Hajnal, Joseph V., Rueckert, Daniel

“… [Display omitted] •Multiple instance learning technique is applied to classification of subjects with Alzheimer’s disease …”
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