Results 101 to 110 of about 1,120,551 (376)

Video Salient Object Detection via Fully Convolutional Networks [PDF]

open access: yesIEEE Transactions on Image Processing, 2017
This paper proposes a deep learning model to efficiently detect salient regions in videos. It addresses two important issues: 1) deep video saliency model training with the absence of sufficiently large and pixel-wise annotated video data and 2) fast ...
Wenguan Wang, Jianbing Shen, Ling Shao
semanticscholar   +1 more source

Learning to Detect a Salient Object [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
In this paper, we study the salient object detection problem for images. We formulate this problem as a binary labeling task where we separate the salient object from the background. We propose a set of novel features, including multiscale contrast, center-surround histogram, and color spatial distribution, to describe a salient object locally ...
Heung-Yeung Shum   +6 more
openaire   +3 more sources

Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients

open access: yesMolecular Oncology, EarlyView.
Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha   +6 more
wiley   +1 more source

Facing salient and non-salient time sequence orientation types expressed by adverbs in English, Mandarin and Serbian

open access: yesLinguistics, 2023
This article intends to provide insight into how speakers of English, Mandarin, and Serbian perceive spatio-temporal relations expressed by specific pairs of adverbials.
Stamenković Dušan   +2 more
doaj   +1 more source

On‐treatment dynamics of circulating extracellular vesicles in the first‐line setting of patients with advanced non‐small cell lung cancer: the LEXOVE prospective study

open access: yesMolecular Oncology, EarlyView.
The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina   +17 more
wiley   +1 more source

Primary extranodal diffuse large B‐cell lymphoma: Molecular features, treatment, and prognosis

open access: yesAging and Cancer, Volume 3, Issue 3-4, Page 133-146, September-December 2022., 2022
One‐third of DLBCL arises from extranodal organs and is challenging to manage. Molecular features are critical to elucidate the differences in clinical features, predict the disease prognosis, and improve effective targeted therapeutic strategies. Abstract Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin's lymphoma and ...
Si‐Yuan Chen   +3 more
wiley   +1 more source

Weakly Supervised Learning for Salient Object Detection [PDF]

open access: yesarXiv, 2015
Recent advances in supervised salient object detection has resulted in significant performance on benchmark datasets. Training such models, however, requires expensive pixel-wise annotations of salient objects. Moreover, many existing salient object detection models assume that at least one salient object exists in the input image.
arxiv  

Cellular liquid biopsy provides unique chances for disease monitoring, preclinical model generation and therapy adjustment in rare salivary gland cancer patients

open access: yesMolecular Oncology, EarlyView.
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić   +31 more
wiley   +1 more source

Salient Instance Segmentation via Subitizing and Clustering [PDF]

open access: yesarXiv, 2019
The goal of salient region detection is to identify the regions of an image that attract the most attention. Many methods have achieved state-of-the-art performance levels on this task. Recently, salient instance segmentation has become an even more challenging task than traditional salient region detection; however, few of the existing methods have ...
arxiv  

U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection [PDF]

open access: yesPattern Recognition, 2020
Xuebin Qin   +5 more
semanticscholar   +1 more source

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