Results 41 to 50 of about 692,625 (171)
In silico Identification of tipifarnib-like compounds by structure-based pharmacophore, virtual screening and molecular docking against K-Ras post-translation in colorectal cancer [PDF]
arXiv, 2023 Colorectal cancer is a public health problem.Approximately 30 to 50 \% of colorectal tumors are caused by mutations in the KRAS gene.These mutations induce uncontrolled proliferation.To date,There is no approved effective treatment for the mutated KRAS oncogene.Farnesyltransferase (FTI) inhibitors are considered a therapeutic target against the mutated
arxiv
Evaluating Estradiol Levels in Male Patients with Colorectal Carcinoma [PDF]
Journal of Clinical and Diagnostic Research, 2015 Background: Globally more than 1 million people suffer from colorectal cancer (CRC) per annum, resulting in about 0.5 million deaths. The role of estrogen in CRC is being researched with great interest; expression of estrogen receptors (alfa and beta)
Atreyee Basu +3 more
doaj +1 more source
Majalah Kedokteran Bandung, 2015 Colorectal adenocarcinoma is an epithelial malignant tumor with glandular differentiation. Lymph node metastasis affects the prognosis and management of colorectal carcinoma patients.
Fenny Ariyanni +2 more
doaj +1 more source
DEN Open, 2023 Background and aims There has been an increasing role of artificial intelligence (AI) in the characterization of colorectal polyps. Recently, a novel AI algorithm for the characterization of polyps was developed by NEC Corporation (Japan). The aim of our
Ejaz Hossain +9 more
doaj +1 more source
Sensor technologies in cancer research for new directions in diagnosis and treatment: and exploratory analysis [PDF]
arXiv, 2022 The goal of this study is an exploratory analysis concerning main sensor technologies applied in cancer research to detect new directions in diagnosis and treatments. The study focused on types of cancer having a high incidence and mortality worldwide: breast, lung, colorectal and prostate.
arxiv
Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images [PDF]
arXiv, 2017 Histopathological characterization of colorectal polyps is an important principle for determining the risk of colorectal cancer and future rates of surveillance for patients. This characterization is time-intensive, requires years of specialized training, and suffers from significant inter-observer and intra-observer variability. In this work, we built
arxiv
Automatic Polyp Segmentation using U-Net-ResNet50 [PDF]
arXiv, 2020 Polyps are the predecessors to colorectal cancer which is considered as one of the leading causes of cancer-related deaths worldwide. Colonoscopy is the standard procedure for the identification, localization, and removal of colorectal polyps. Due to variability in shape, size, and surrounding tissue similarity, colorectal polyps are often missed by ...
arxiv
Colorectal Polyp Segmentation by U-Net with Dilation Convolution [PDF]
arXiv, 2019 Colorectal cancer (CRC) is one of the most commonly diagnosed cancers and a leading cause of cancer deaths in the United States. Colorectal polyps that grow on the intima of the colon or rectum is an important precursor for CRC. Currently, the most common way for colorectal polyp detection and precancerous pathology is the colonoscopy.
arxiv
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes [PDF]
Machine Learning in Medical Imaging (MLMI) 2023Multi-class colorectal tissue classification is a challenging problem that is typically addressed in a setting, where it is assumed that ample amounts of training data is available. However, manual annotation of fine-grained colorectal tissue samples of multiple classes, especially the rare ones like stromal tumor and anal cancer is laborious and ...
arxiv +1 more source