Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi-dataset feasibility study.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16430
Abstract: BACKGROUND Cancer prognosis before and after treatment is key for patient management and decision making. Handcrafted imaging biomarkers-radiomics-have shown potential in predicting prognosis. PURPOSE However, given the recent progress in deep learning, it is timely… read more here.
Keywords: cancer prognosis; cancer; deep features; video classification ... See more keywords
A novel keyframe extraction method for video classification using deep neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06322-x
Abstract: Combining convolutional neural networks (CNNs) and recurrent neural networks (RNNs) produces a powerful architecture for video classification problems as spatial–temporal information can be processed simultaneously and effectively. Using transfer learning, this paper presents a comparative… read more here.
Keywords: video; neural networks; extraction method; keyframe extraction ... See more keywords
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3132916
Abstract: Video classification researches that have recently attracted attention are the fields of temporal modeling and 3D efficient architecture. However, the temporal modeling methods are not efficient or the 3D efficient architecture is less interested in… read more here.
Keywords: factorization; temporal modeling; video classification; depthwise ... See more keywords
Deep Architectures and Ensembles for Semantic Video Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2881842
Abstract: This paper addresses the problem of accurate semantic labeling of short videos. To this end, a multitude of three different deep nets, ranging from traditional recurrent neural 4 networks (LSTM, GRU), temporal agnostic networks (FV,… read more here.
Keywords: performance; state art; video classification; deep architectures ... See more keywords
Fine-Grained Feature Generation for Generalized Zero-Shot Video Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3247167
Abstract: Generalized zero-shot video classification aims to train a classifier to classify videos including both seen and unseen classes. Since the unseen videos have no visual information during training, most existing methods rely on the generative… read more here.
Keywords: information; shot video; generalized zero; zero shot ... See more keywords
Exploiting Mid-Level Semantics for Large-Scale Complex Video Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2907453
Abstract: As the amount of available video data has grown substantially, automatic video classification has become an urgent yet challenging task. Most video classification methods focus on acquiring discriminative spacial visual features and motion patterns for… read more here.
Keywords: video; mid level; video classification; semantics ... See more keywords
AGTH-Net: Attention-Based Graph Convolution-Guided Third-Order Hourglass Network for Sports Video Classification
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Healthcare Engineering"
DOI: 10.1155/2021/8517161
Abstract: As a hot research topic, sports video classification research has a wide range of applications in switched TV, video on demand, smart TV, and other fields and is closely related to people's lives. Under this… read more here.
Keywords: classification; network; hourglass; attention ... See more keywords
Perceptive SARS-CoV-2 End-To-End Ultrasound Video Classification through X3D and Key-Frames Selection
Sign Up to like & getrecommendations! Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10030282
Abstract: The SARS-CoV-2 pandemic challenged health systems worldwide, thus advocating for practical, quick and highly trustworthy diagnostic instruments to help medical personnel. It features a long incubation period and a high contagion rate, causing bilateral multi-focal… read more here.
Keywords: key; perceptive sars; video classification; sars cov ... See more keywords