Results 131 to 140 of about 1,151,344 (286)

Fuzzy System Based Medical Image Processing for Brain Disease Prediction. [PDF]

Front Neurosci, 2021
Hu M, Zhong Y, Xie S, Lv H, Lv Z.
europepmc   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

Molecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla, Jan Kosla, Magdalena Prechova, Lukas Frick, Patricia Bortel, Yasmin Borutzki, Andrea Bileck, Christopher Gerner, Samuel M. Meier‐Menches, Selma Osmanagic‐Myers, Martin Gregor   +10 more
wiley   +1 more source

Chest tomosynthesis image enhancement by bone suppression using convolutional neural networks with synthetic data

Journal of Radiation Research and Applied Sciences
Chest tomosynthesis (CTS) as a newly developed imaging technique can provide pseudo-3D volume anatomical information of the thorax from limited-angle projections. However, one drawback is that the acquisition angle for CTS imaging is much less than 180°,
Xiaotong Xu, Qian Li, Shuang Jin, Zhe Su, Yu Zhang   +4 more
doaj   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

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, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

Outbreak COVID-19 in Medical Image Processing Using Deep Learning: A State-of-the-Art Review. [PDF]

Arch Comput Methods Eng, 2022
Kaur J, Kaur P.
europepmc   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey. [PDF]

Sustain Cities Soc, 2021
Bhattacharya S, Reddy Maddikunta PK, Pham QV, Gadekallu TR, Krishnan S SR, Chowdhary CL, Alazab M, Jalil Piran M.   +7 more
europepmc   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Explainable fully automated CT scoring of interstitial lung disease for patients suspected of systemic sclerosis by cascaded regression neural networks and its comparison with experts

Scientific Reports
Visual scoring of interstitial lung disease in systemic sclerosis (SSc-ILD) from CT scans is laborious, subjective and time-consuming. This study aims to develop a deep learning framework to automate SSc-ILD scoring.
Jingnan Jia, Irene Hernández-Girón, Anne A. Schouffoer, Jeska K. de Vries-Bouwstra, Maarten K. Ninaber, Julie C. Korving, Marius Staring, Lucia J. M. Kroft, Berend C. Stoel   +8 more
doaj   +1 more source

Impact of Upstream Medical Image Processing on Downstream Performance of a Head CT Triage Neural Network. [PDF]

Radiol Artif Intell, 2021
Hooper SM, Dunnmon JA, Lungren MP, Mastrodicasa D, Rubin DL, Ré C, Wang A, Patel BN.   +7 more
europepmc   +1 more source