Results 201 to 210 of about 10,352,216 (337)

3. The Detection of Faint Images Against the Sky Background [PDF]

, 1957
W. A. Baum
openalex   +1 more source

TRPM8 levels determine tumor vulnerability to channel agonists

Molecular Oncology, EarlyView.
TRPM8 is a Ca2+ permissive channel. Regardless of the amount of its transcript, high levels of TRPM8 protein mark different tumors, including prostate, breast, colorectal, and lung carcinomas. Targeting TRPM8 with channel agonists stimulates inward calcium currents followed by emptying of cytosolic Ca2+ stores in cancer cells.
Alessandro Alaimo, Francesco Giuseppe Carbone, Kristi Buzo, Nicole Annesi, Sacha Genovesi, Annalisa Lorenzato, Karen Widmann, Michela Libergoli, Elisa Marmocchi, Giovanni Bertalot, Alberto Brolese, Mauro Giulio Papotti, Luca Molinaro, Orazio Caffo, Mattia Barbareschi, Alberto Bardelli, Alessandro Romanel, Sabrina Arena, Andrea Lunardi   +18 more
wiley   +1 more source

Preoperative MRI-based deep learning reconstruction and classification model for assessing rectal cancer. [PDF]

BMC Med Imaging
Yuan Y, Ren S, Lu H, Chen F, Xiang L, Chamberlain R, Shao C, Lu J, Shen F, Chen L.   +9 more
europepmc   +1 more source

The Relation between the Crystal Habit and the Lattice Image of Copper-Phthalocyanine

, 1957
Eiji Suito, Natsu Uyeda
openalex   +2 more sources

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

IEEE Transactions on Medical Imaging, 2015
Bjoern H Menze, A. Jakab, S. Bauer, Jayashree Kalpathy-Cramer, K. Farahani, J. Kirby, Y. Burren, N. Porz, J. Slotboom, R. Wiest, L. Lanczi, E. Gerstner, M. Weber, T. Arbel, B. Avants, N. Ayache, Patricia Buendia, D. Collins, Nicolas Cordier, Jason J. Corso, A. Criminisi, T. Das, H. Delingette, Çağatay Demiralp, C. Durst, M. Dojat, Senan Doyle, Joana Festa, F. Forbes, Ezequiel Geremia, B. Glocker, P. Golland, Xiaotao Guo, A. Hamamci, K. Iftekharuddin, R. Jena, N. John, E. Konukoglu, D. Lashkari, J. Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, S. Price, Tammy Riklin-Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, L. Schwartz, Hoo-Chang Shin, J. Shotton, Carlos Alberto Silva, N. Sousa, N. Subbanna, G. Székely, Thomas J. Taylor, O. Thomas, N. Tustison, Gözde B. Ünal, F. Vasseur, M. Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, M. Prastawa, M. Reyes, K. V. Leemput   +67 more
semanticscholar   +1 more source

Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer

Molecular Oncology, EarlyView.
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte, Osheen Sharma, Laura Leuenberger, Emelie Wallin, Josefin Fernebro, Päivi Östling, Rebecka Bergström, Johan Lindberg, Ulrika Joneborg, Olli Kallioniemi, Brinton Seashore‐Ludlow   +10 more
wiley   +1 more source

Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation. [PDF]

Sci Rep
Subathra S, Thanikaiselvan V.
europepmc   +1 more source

Thermionic Emission from Catalyst for Ammonia Synthesis. I. Electron Microscopic Images of the Catalysts [PDF]

, 1954
Hiroshi Uchida, Naoyuki Todo
openalex   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

Molecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang, Tao Cheng, Yingchang Mi   +11 more
wiley   +1 more source

Quantum optimization algorithms for CT image segmentation from X-ray data. [PDF]

Sci Rep
Jun K, Lee H.
europepmc   +1 more source