Results 101 to 110 of about 345,447 (283)
Embedding-based Instance Segmentation in Microscopy
, 2021 Automatic detection and segmentation of objects in 2D and 3D microscopy data is important for countless biomedical applications. In the natural image domain, spatial embedding-based instance segmentation methods are known to yield high-quality results, but their utility for segmenting microscopy data is currently little researched.
Lalit, M., Tomancak, P., Jug, F.
openaire +3 more sources
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
A unified deep learning framework for segmentation in remote sensing imagery
Discover ComputingDeep learning-based segmentation models have gained significant focus in various computer vision applications, including remote sensing and medical imaging.
Babitha Lokula +2 more
doaj +1 more source
Frontiers in Marine ScienceIn aquaculture, underwater instance segmentation methods offer precise individual identification and counting capabilities. However, due to the inherent unique optical characteristics and high noise in underwater imagery, existing underwater instance ...
Zhiqian He +4 more
doaj +1 more source
Synthetic instance segmentation from semantic image segmentation masks
Knowledge-Based Systems12 pages,4 ...
Yuchen Shen +4 more
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Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
A Unified Deep Architecture for Segmentation in Remote Sensing Images
Applied Computational Intelligence and Soft ComputingDeep learning–based segmentation models have gained significant focus in various computer vision applications, including remote sensing and medical imaging.
Nagamani Gonthina +1 more
doaj +1 more source
Unsupervised instance segmentation with superpixels
Pattern RecognitionInstance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire +2 more sources
ATF4‐mediated stress response as a therapeutic vulnerability in chordoma
Molecular Oncology, EarlyView.We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone +11 more
wiley +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source