Results 111 to 120 of about 1,931,799 (283)
PLoS ONEAddressing the limitations in current visual question answering (VQA) models face limitations in multimodal feature fusion capabilities and often lack adequate consideration of local information, this study proposes a multimodal Transformer VQA network ...
Cuiyang Huang, Zihan Hu
doaj +1 more source
A Sub-block Based Image Retrieval Using Modified Integrated Region Matching
, 2013 This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image.
Jacob, K. Poulose, Vimina, E. R.
core
NKCC1: A key regulator of glioblastoma progression
Molecular Oncology, EarlyView.Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen +5 more
wiley +1 more source
Deep Orthogonal Fusion Smoothing Hashing for Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn the face of massive remote sensing image data, this is a challenging missions to retrieve images containing specific content quickly and accurately. With the characteristics of low storage and high efficiency, deep hashing algorithms have been widely ...
Fuwei Huang +3 more
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Bag‐of‐features for image memorability evaluation
IET Computer Vision, 2016 Image memorability represents the degree to which images are remembered or forgotten after a period of time. Studying image memorability in computer vision is the task of finding special characteristics in memorable images, in order to develop a ...
Souad Lahrache +2 more
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Neural Nearest Neighbors Networks
, 2018 Non-local methods exploiting the self-similarity of natural signals have been well studied, for example in image analysis and restoration. Existing approaches, however, rely on k-nearest neighbors (KNN) matching in a fixed feature space.
Plötz, Tobias, Roth, Stefan
core
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
SEFormer for medical image segmentation with integrated global and local features
Scientific ReportsThis paper proposes a novel medical image segmentation method, SEFormer, which effectively leverages both local and global features representations to enhance segmentation accuracy and efficiency. To address the limitations of existing image segmentation
Chen Ge +4 more
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source