Results 41 to 50 of about 1,383,024 (290)

A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders [PDF]

, 2019
Publicado en Lecture Notes in Computer Science.The diagnosis and prognosis of cancer are among the more challenging tasks that oncology medicine deals with.
A Bashiri, GE Hinton, I Guyon, J Bergstra, JN Weinstein, JS Parker, K Kourou, N Srivastava, SC Schuster, SJ Pan, Y LeCun, Y Saeys, Y Xiao, Z Wang   +13 more
core   +1 more source

Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network

, 2018
Histology imaging is an essential diagnosis method to finalize the grade and stage of cancer of different tissues, especially for breast cancer diagnosis. Specialists often disagree on the final diagnosis on biopsy tissue due to the complex morphological
DM Greig, JG Elmore, MN Gurcan, PP Rosen, T Araújo   +4 more
core   +1 more source

A cDNA Microarray Gene Expression Data Classifier for Clinical Diagnostics Based on Graph Theory [PDF]

, 2011
Despite great advances in discovering cancer molecular profiles, the proper application of microarray technology to routine clinical diagnostics is still a challenge. Current practices in the classification of microarrays' data show two main limitations:
Benso, Alfredo, Di Carlo, Stefano, Politano, Gianfranco Michele Maria   +2 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Cancer classification in high dimensional microarray gene expressions by feature selection using eagle prey optimization

Frontiers in Genetics
Microarray gene expression data have emerged as powerful tools in cancer classification and diagnosis. However, the high dimensionality of these datasets presents significant challenges for feature selection, leading to the development of various ...
Swetha Dhamercherla, Damodar Reddy Edla, Suresh Dara   +2 more
doaj   +1 more source

Metrik Öğrenmesi Kullanarak Çeşitli Kanser Dokularına Ait Mikro Dizi Gen Verilerinin Sınıflandırılması

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021
Kanserli dokuların heterojen doğası gereği birçok kanserin alt türü vardır, ve bu alt türler tespit edilmedikçe kanser tedavisi hedefi bulamaz. Mikrodizi gen teknolojisi ve veri teknolojisinin gelişmesiyle beraber, son yıllarda kanserli dokulara ait ...
Fırat İsmailoğlu
doaj   +1 more source

Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification

, 2016
Convolutional Neural Networks (CNN) are state-of-the-art models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixel resolution Whole Slide Tissue Images (WSI) is currently computationally ...
Davis, James E., Gao, Yi, Hou, Le, Kurc, Tahsin M., Saltz, Joel H., Samaras, Dimitris   +5 more
core   +1 more source

Module-based breast cancer classification [PDF]

International Journal of Data Mining and Bioinformatics, 2013
The reliability and reproducibility of gene biomarkers for classification of cancer patients has been challenged due to measurement noise and biological heterogeneity among patients. In this paper, we propose a novel module-based feature selection framework, which integrates biological network information and gene expression data to identify biomarkers
Yuji, Zhang, Jianhua, Xuan, Robert, Clarke, Habtom W, Ressom   +3 more
openaire   +2 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Assessment of Aspartame (E951) Occurrence in Selected Foods and Beverages on the German Market 2000–2022

Foods, 2023
This study examines the occurrence of the artificial sweetener aspartame (E951) in foods and beverages sampled by food control authorities in Germany between 2000 and 2022. The dataset was obtained through the Consumer Information Act.
Sydney Schorb, Katharina Gleiss, Roland Wedekind, Eero Suonio, Ann-Kathrin Kull, Marcel Kuntz, Stephan G. Walch, Dirk W. Lachenmeier   +7 more
doaj   +1 more source