Browsing by Keywords "Colon cancer"
Now showing items 1-11 of 11
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A combined ULBP2 and SEMA5A expression signature as a prognostic and predictive biomarker for colon cancer
(Ivyspring International Publisher, 2017)Background: Prognostic biomarkers for cancer have the power to change the course of disease if they add value beyond known prognostic factors, if they can help shape treatment protocols, and if they are reliable. The aim ... -
Constrained Delaunay triangulation for diagnosis and grading of colon cancer
(Bilkent University, 2009)In our century, the increasing rate of cancer incidents makes it inevitable to employ computerized tools that aim to help pathologists more accurately diagnose and grade cancerous tissues. These mathematical tools offer ... -
Differential expression of colon cancer associated transcript1 (CCAT1) along the colonic adenoma-carcinoma sequence
(BioMed Central, 2013)Background: The transition from normal epithelium to adenoma and, to invasive carcinoma in the human colon is associated with acquired molecular events taking 5-10 years for malignant transformation. We discovered CCAT1, ... -
Histopathological image classification using salient point patterns
(Bilkent University, 2011)Over the last decade, computer aided diagnosis (CAD) systems have gained great importance to help pathologists improve the interpretation of histopathological tissue images for cancer detection. These systems offer ... -
Histopathological image classification with the bag of words model
(IEEE, 2011-06-23)Colon cancer, which is one of the most common cancer type, could be cured with its early diagnosis. In the current practice of medicine, there are many screening techniques such as colonoscopy, sigmoidoscopy, and stool ... -
Local object patterns for representation and classification of colon tissue images
(Institute of Electrical and Electronics Engineers, 2014-07)This paper presents a new approach for the effective representation and classification of images of histopathological colon tissues stained with hematoxylin and eosin. In this approach, we propose to decompose a tissue ... -
Local object patterns for tissue image representation and cancer classification
(Bilkent University, 2013)Histopathological examination of a tissue is the routine practice for diagnosis and grading of cancer. However, this examination is subjective since it requires visual interpretation of a pathologist, which mainly depends ... -
Prediction of prognosis and chemosensitivity in gastrointestinal cancers
(Bilkent University, 2018-01)Colon and gastric cancers are the third and fifth cancer types with the poorest survival. Surgery is considered the primary treatment option, which can be curative. However the decision as to whether chemotherapy ... -
TRIB2 confers resistance to anti-cancer therapy by activating the serine/threonine protein kinase AKT
(Nature Publishing Group, 2017)Intrinsic and acquired resistance to chemotherapy is the fundamental reason for treatment failure for many cancer patients. The identification of molecular mechanisms involved in drug resistance or sensitization is imperative. ... -
Two-tier tissue decomposition for histopathological image representation and classification
(Institute of Electrical and Electronics Engineers, 2015)In digital pathology, devising effective image representations is crucial to design robust automated diagnosis systems. To this end, many studies have proposed to develop object-based representations, instead of directly ... -
Unsupervised feature extraction via deep learning for histopathological classification of colon tissue images
(Institute of Electrical and Electronics Engineers, 2018)Histopathological examination is today’s gold standard for cancer diagnosis. However, this task is time consuming and prone to errors as it requires a detailed visual inspection and interpretation of a pathologist. ...
