Results 121 to 130 of about 758,831 (346)

A Study of Actor and Action Semantic Retention in Video Supervoxel Segmentation [PDF]

, 2013
Existing methods in the semantic computer vision community seem unable to deal with the explosion and richness of modern, open-source and social video content.
Corso, Jason J., Doell, Richard F., Hanson, Catherine, Hanson, Stephen José, Xu, Chenliang   +4 more
core  

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

Semantic Segmentation Network Based on Adaptive Attention and Deep Fusion Utilizing a Multi-Scale Dilated Convolutional Pyramid

Sensors
Deep learning has recently made significant progress in semantic segmentation. However, the current methods face critical challenges. The segmentation process often lacks sufficient contextual information and attention mechanisms, low-level features lack
Shan Zhao, Zihao Wang, Zhanqiang Huo, Fukai Zhang   +3 more
doaj   +1 more source

Exploring Segment Representations for Neural Segmentation Models [PDF]

arXiv, 2016
Many natural language processing (NLP) tasks can be generalized into segmentation problem. In this paper, we combine semi-CRF with neural network to solve NLP segmentation tasks. Our model represents a segment both by composing the input units and embedding the entire segment.
arxiv  

A scale space approach for automatically segmenting words from historical handwritten documents

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
Many libraries, museums, and other organizations contain large collections of handwritten historical documents, for example, the papers of early presidents like George Washington at the Library of Congress. The first step in providing recognition/ retrieval tools is to automatically segment handwritten pages into words.
Manmatha, R., Rothfeder, Jamie L.
openaire   +4 more sources

Implementation of needle‐tracking technology for real‐time transrectal ultrasound‐guided interstitial gynecological HDR brachytherapy: A feasibility study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To investigate the feasibility of adapting a commercial prostate biopsy system for transrectal ultrasound (TRUS)‐guided hybrid gynecological (GYN) high‐dose‐rate (HDR) brachytherapy (BT). Leveraging 3D‐TRUS and MR image fusion, the prototype system aims to improve real‐time needle placement accuracy.
Lindsey H. Bloom, Diandra Ayala‐Peacock, Rajesh Venkataraman, Brett Eckroate, Ryan Sanford, Junzo Chino, Yongbok Kim, Julie Raffi, Oana Craciunescu   +8 more
wiley   +1 more source

Learning Pixel Representations for Generic Segmentation [PDF]

arXiv, 2019
Deep learning approaches to generic (non-semantic) segmentation have so far been indirect and relied on edge detection. This is in contrast to semantic segmentation, where DNNs are applied directly. We propose an alternative approach called Deep Generic Segmentation (DGS) and try to follow the path used for semantic segmentation.
arxiv  

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Edge-preserving smoothing and segmentation of 4D images via transversely isotropic scale-space processing and fingerprint analysis [PDF]

, 2004
Bryan W. Reutter, V. Ralph Algazi, G.T. Gullberg, R.H. Huesman   +3 more
openalex   +3 more sources

UR‐cycleGAN: Denoising full‐body low‐dose PET images using cycle‐consistent Generative Adversarial Networks

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to develop a CycleGAN based denoising model to enhance the quality of low‐dose PET (LDPET) images, making them as close as possible to standard‐dose PET (SDPET) images. Methods Using a Philips Vereos PET/CT system, whole‐body PET images of fluorine‐18 fluorodeoxyglucose (18F‐FDG) were acquired from 37 patients to ...
Yang Liu, ZhiWu Sun, HaoJia Liu
wiley   +1 more source