Results 71 to 80 of about 678,145 (379)

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

Molecular 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, Viviana Bazan, Nadia Barraco, Simona Taverna, Mauro Manno, Samuele Raccosta, Anna Paola Carreca, Marco Bono, Tancredi Didier Bazan Russo, Francesco Pepe, Pasquale Pisapia, Lorena Incorvaia, Giuseppe Badalamenti, Giancarlo Troncone, Umberto Malapelle, Daniele Santini, Antonio Russo, Antonio Galvano   +17 more
wiley   +1 more source

İçerik Tabanlı Görüntü Erişimi / Content-Based Image Retrieval

Bilgi Dünyası, 2005
Digital image collections are expanding day by day, and image retrieval becomes even harder. Both individuals and institutions encounter serious problems when building their image archives and later when retrieving the archived images. Visual information
İrem Soydal, Umut Al, Umut Sezen
doaj  

System refinement for content based satellite image retrieval

Egyptian Journal of Remote Sensing and Space Sciences, 2012
We are witnessing a large increase in satellite generated data especially in the form of images. Hence intelligent processing of the huge amount of data received by dozens of earth observing satellites, with specific satellite image oriented approaches ...
NourElDin Laban, Motaz ElSaban, Ayman Nasr, Hoda Onsi   +3 more
doaj   +1 more source

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query [PDF]

arXiv, 2023
We introduce a novel Region-based contrastive pretraining for Medical Image Retrieval (RegionMIR) that demonstrates the feasibility of medical image retrieval with similar anatomical regions. RegionMIR addresses two major challenges for medical image retrieval i) standardization of clinically relevant searching criteria (e.g., anatomical, pathology ...
arxiv  

CONTENT BASED BATIK IMAGE RETRIEVAL [PDF]

Journal of Computer Science, 2014
Content Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with ot her images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other
Agus Harjoko, A. Haris Rangkuti, Agfianto Eko Putro   +2 more
openaire   +2 more sources

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

Molecular 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, Florian Lüke, Steffi Treitschke, Andrea Coluccio, Martin Hoffmann, Giancarlo Feliciello, Adithi Ravikumar Varadarajan, Xin Lu, Kathrin Weidele, Catherine Botteron, Silvia Materna–Reichelt, Felix Keil, Katja Evert, Florian Weber, Thomas Schamberger, Michael Althammer, Jirka Grosse, Dirk Hellwig, Christian Schulz, Stephan Seitz, Peter Ugocsai, Anke Schlenska‐Lange, Roman Mayr, Ulrich Kaiser, Wolfgang Dietmaier, Bernhard Polzer, Jens Warfsmann, Kamran Honarnejad, Tobias Pukrop, Daniel Heudobler, Christoph A. Klein, Christian Werno   +31 more
wiley   +1 more source

Neural-based Cross-modal Search and Retrieval of Artwork [PDF]

arXiv, 2023
Creating an intelligent search and retrieval system for artwork images, particularly paintings, is crucial for documenting cultural heritage, fostering wider public engagement, and advancing artistic analysis and interpretation. Visual-Semantic Embedding (VSE) networks are deep learning models used for information retrieval, which learn joint ...
arxiv  

Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval

IEEE Transactions on Knowledge and Data Engineering, 2017
As an emerging technology to support scalable content-based image retrieval (CBIR), hashing has recently received great attention and became a very active research domain.
Lei Zhu, Jialie Shen, Liang Xie, Zhiyong Cheng   +3 more
semanticscholar   +1 more source

Integrative systems‐level analysis reveals a contextual crosstalk between hypoxia and global metabolism in human breast tumors

Molecular Oncology, EarlyView.
Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam, Salem Chouaib, Mohammad Askandar Iqbal   +2 more
wiley   +1 more source

Content‐based image retrieval system via sparse representation

IET Computer Vision, 2016
The aim of image retrieval systems is to automatically assess, retrieve and represent relative images‐based user demand. However, the accuracy and speed of image retrieval are still an interesting topic of many researches.
Sajad Mohamadzadeh, Hassan Farsi
doaj   +1 more source