„tumor classification“

Suchergebnisse

1.000+ Treffer

• Hairy cell leukemia variant and WHO classification correspondence Re: 5th edition WHO classification haematolymphoid tumors: lymphoid neoplasms
  Grever, Michael ; Andritsos, Leslie ; Anghelina, Mirela ; Arons, Evgeny ; Banerji, Versha ; Barrientos, Jacqueline ; Bhat, Seema A. ; Blachly, James ; Broccoli, Alessandro ; Call, Timothy ; Dearden, Claire ; Dietrich, Sascha ; Else, Monica ; Epperla, Narendranath ; Fagarasanu, Andrei ; Falini, Brunangelo ; Forconi, Francesco ; Gozzetti, Alessandro ; Hampel, Paul ; Hermel, David J. ; Iyengar, Sunil ; Johnston, James B. ; Juliusson, Gunnar ; Kreitman, Robert ; Lauria, Francesco ; Lozanski, Gerard ; Oakes, Chr
• Sonographic classification of testicular tumors by tissue harmonic imaging: experience of 58 cases
  Kawamoto, Atsuo ; Hatano, Tadashi ; Saito, Kazuhiro ; Inoue, Rie ; Nagao, Toshitaka ; Sanada, Shigeru
• Prognostic Factors for Renal Cell Carcinoma Subtypes Diagnosed According to the 2016 WHO Renal Tumor Classification: a Study Involving 928 Patients
  Kuthi, Levente ; Jenei, Alex ; Hajdu, Adrienn ; Németh, István ; Varga, Zoltán ; Bajory, Zoltán ; Pajor, László ; Iványi, Béla
• Prognosis of eyelid sebaceous gland carcinoma based on the tumor (T) category of the American Joint Committee on Cancer (AJCC) classification
  Kaliki, Swathi ; Gupta, Adit ; Ali, Mohammed Hasnat ; Ayyar, Anuradha ; Naik, Milind N.
• Fortschritte der Praktischen Dermatologie und Venerologie – Vorträge des IV. Fortbildungskurses der Dermatologischen Klinik und Poliklinik der Universität München vom 31. Juli–5. August 1961
  Borelli, S. ; Marchionini, Alfred 1962 Springer Berlin Heidelberg
• Confident Predictability: Identifying reliable gene expression patterns for individualized tumor classification using a local minimax kernel algorithm
  Jones, Lee K. ; Zou, Fei ; Kheifets, Alexander ; Rybnikov, Konstantin ; Berry, Damon ; Tan, Aik Choon
• Systematic Bias in Genomic Classification Due to Contaminating Non-neoplastic Tissue in Breast Tumor Samples
  Elloumi, Fathi ; Hu, Zhiyuan ; Li, Yan ; Parker, Joel S. ; Gulley, Margaret L. ; Amos, Keith D. ; Troester, Melissa A.
• Re-appraisal of risk classifications for primary gastrointestinal stromal tumors (GISTs) after complete resection: indications for adjuvant therapy
  Yanagimoto, Yoshitomo ; Takahashi, Tsuyoshi ; Muguruma, Kazuya ; Toyokawa, Takahiro ; Kusanagi, Hiroshi ; Omori, Takeshi ; Masuzawa, Toru ; Tanaka, Kōji ; Hirota, Seiichi ; Nishida, Toshirou
• The 7th Edition of the AJCC Staging Classification Correlates with Biologic Behavior of Mucinous Appendiceal Tumor with Peritoneal Metastases Treated with Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy (CRS/HIPEC)
  Milovanov, Vladimir ; Sardi, Armando ; Studeman, Kimberley ; Nieroda, Carol ; Sittig, Michelle ; Gushchin, Vadim
• Efficacy of the echo pattern classification of ovarian tumors 2000 in conjunction with transvaginal ultrasonography for diagnosis of ovarian masses
  Tajima, Atsushi ; Suzuki, Chikako ; Kikuchi, Iwaho ; Kasahara, Hanako ; Koizumi, Akari ; Nojima, Michio ; Yoshida, Koyō
• Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology
  Ramesh, Siddhi ; Dyer, Emma ; Pomaville, Monica ; Doytcheva, Kristina ; Dolezal, James ; Kochanny, Sara ; Terhaar, Rachel ; Mehrhoff, Casey J. ; Patel, Kritika ; Brewer, Jacob ; Kusswurm, Benjamin ; Naranjo, Arlene ; Shimada, Hiroyuki ; Cipriani, Nicole A. ; Husain, Aliya N. ; Pytel, Peter ; Sokol, Elizabeth A. ; Cohn, Susan L. ; George, Rani E. ; Pearson, Alexander T. ; Applebaum, Mark A.
• Weiterbildung Onkologie – CME-Beiträge aus: Der Onkologe Juli 2014 - Dezember 2015
  Adamietz, Irenäus A. ; Bechstein, Wolf Otto ; Christiansen, Hans ; Doehn, Christian ; Hochhaus, Andreas ; Hofheinz, Ralf-Dieter ; Lichtenegger, Werner ; Lordick, Florian ; Schadendorf, Dirk ; Untch, Michael ; Wittekind, Christian F. 2016 Springer Berlin Heidelberg
• Prognostic grouping: the next step in tumor classification
  Hermanek, Paul ; Hutter, Robert V. P. ; Sobin, L. H.
• Onkologie für Viszeral- und Allgemeinchirurgie – Mitreden im Tumorboard
  Heise, Michael ; Schulte, Katharina 2026 Springer Berlin
• An Aptamer‐Based Nanoflow Cytometry Method for the Molecular Detection and Classification of Ovarian Cancers through Profiling of Tumor Markers on Small Extracellular Vesicles
  Li, Jin ; Li, Yingying ; Li, Qin ; Sun, Lu ; Tan, Qingqing ; Zheng, Liyan ; Lu, Ye ; Zhu, Jianqing ; Qu, Fengli ; Tan, Weihong
• An Aptamer‐Based Nanoflow Cytometry Method for the Molecular Detection and Classification of Ovarian Cancers through Profiling of Tumor Markers on Small Extracellular Vesicles
  Li, Jin ; Li, Yingying ; Li, Qin ; Sun, Lu ; Tan, Qingqing ; Zheng, Liyan ; Lu, Ye ; Zhu, Jianqing ; Qu, Fengli ; Tan, Weihong
• NeuroNet19: an explainable deep neural network model for the classification of brain tumors using magnetic resonance imaging data
  Haque, Rezuana ; Hassan, Md. Mehedi ; Bairagi, Anupam Kumar ; Islam, Sheikh Mohammed Shariful
• Multicentric and multifocal versus unifocal breast cancer: is the tumor-node-metastasis classification justified?
  Weissenbacher, Tobias M. ; Zschage, Madeleine ; Janni, Wolfgang ; Jeschke, Udo ; Dimpfl, Thomas ; Mayr, Doris ; Rack, Brigitte K. ; Schindlbeck, Christian ; Friese, Klaus ; Dian, Darius
• Diagnostic Pathology of Pleuropulmonary Neoplasia
  Weißferdt, Annikka ; Moran, Cesar A. 2013 Springer New York
• Multi-modal MRI data augmentation and attention-based modeling for interpretable brain tumor classification
  Alanazi, Mubarak A.