Results 41 to 50 of about 107,245 (331)
Automatic image annotation using group sparsity [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have focused upon model representations of keywords, but properties of features have not been well investigated.
Shaoting Zhang +5 more
openaire +1 more source
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. [PDF]
PLoS ONE, 2018 The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain.
Obioma Pelka +2 more
doaj +1 more source
IEEE Access, 2022 Automatic image annotation (AIA) has been adopted in different applications such as image retrieval and classification. Deep Learning is used in AIA to extract image features and then convert these features into text descriptions and labels.
Abeer Alshehri +2 more
doaj +1 more source
Assessment of algorithms for mitosis detection in breast cancer histopathology images [PDF]
, 2014 The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.
Adnan M. Khan +59 more
core +5 more sources
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Automatic parsing of sports videos with grammars [PDF]
, 2005 Motivated by the analogies between languages and sports videos, we introduce a novel approach for video parsing with grammars. It utilizes compiler techniques for integrating both semantic annotation and syntactic analysis to generate a semantic index ...
Li, J, Lü, K, Wang, F
core +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
IEEE Access, 2019 Due to the explosive growth of image data, image annotation has been one of the most popular research directions in computer vision. It has been widely used in image retrieval, image analysis and understanding. Because traditional manual image annotation
Junyi Zhang +3 more
doaj +1 more source
Feature Selection for Automatic Image Annotation [PDF]
, 2006 Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we present a novel image annotation scheme which is fast and effective and scales well to a large number of keywords.
Setia, Lokesh, Burkhardt, Hans
openaire +2 more sources