AIMC Topic: Colonic Neoplasms

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Constrained Deep Weak Supervision for Histopathology Image Segmentation.

IEEE transactions on medical imaging Jul 7, 2017
In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous regions in histopathology images. This paper is under a multiple instance learning (MIL) framework with a new formulation, deep weak supervision (DWS);...
Neural Networks, Computer Algorithms Databases, Factual Humans Supervised Machine Learning Histocytochemistry Tissue Array Analysis Colon Image Processing, Computer-Assisted Colonic Neoplasms
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Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis.

Computer methods and programs in biomedicine May 4, 2017
BACKGROUND AND OBJECTIVES: This paper examines the accuracy and efficiency (time complexity) of high performance genetic data feature selection and classification algorithms for colon cancer diagnosis. The need for this research derives from the urge...
Support Vector Machine Humans Colonic Neoplasms Algorithms
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Analysis of specific serum markers of colon carcinoma using a Bhattacharyya-based support vector machine.

Genetics and molecular research : GMR Jan 23, 2017
We aimed to evaluate the specificity of 12 tumor markers related to colon carcinoma and identify the most sensitive index. Bhattacharyya distance was used to evaluate the index. Then, different index combinations were used to establish a support vect...
Biomarkers, Tumor Models, Theoretical Support Vector Machine Colonic Neoplasms Humans Reproducibility of Results
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Ensemble Feature Learning of Genomic Data Using Support Vector Machine.

PloS one Jun 15, 2016
The identification of a subset of genes having the ability to capture the necessary information to distinguish classes of patients is crucial in bioinformatics applications. Ensemble and bagging methods have been shown to work effectively in the proc...
Support Vector Machine Colonic Neoplasms Data Mining Information Dissemination Leukemia Genomics Computational Biology Gene Expression Regulation, Neoplastic Gene Expression Profiling Child Humans Algorithms Female Reproducibility of Results Breast Neoplasms
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Laparoscopic versus robotic right colectomy: technique and outcomes.

Updates in surgery Mar 18, 2016
Minimally invasive surgery has gained worldwide acceptance in the treatment of colonic cancer in the last decades, thanks to its well-known advantages in short-term outcomes. Nevertheless, the penetrance of minimally invasive colorectal surgery still...
Treatment Outcome Operative Time Robotics Humans Colectomy Laparoscopy Colonic Neoplasms
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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.

IEEE transactions on medical imaging Feb 4, 2016
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches have been shown to produce en...
Cell Proliferation Colonic Neoplasms Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning Colon Cell Nucleus Histocytochemistry Humans
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Cancer classification based on gene expression using neural networks.

Genetics and molecular research : GMR Dec 21, 2015
Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considere...
Colonic Neoplasms Neural Networks, Computer Humans Algorithms Gene Expression Regulation, Neoplastic
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Novel structural descriptors for automated colon cancer detection and grading.

Computer methods and programs in biomedicine Jun 6, 2015
The histopathological examination of tissue specimens is necessary for the diagnosis and grading of colon cancer. However, the process is subjective and leads to significant inter/intra observer variation in diagnosis as it mainly relies on the visua...
Middle Aged Humans Support Vector Machine Algorithms Neoplasm Grading Female Colonic Neoplasms Microscopy Pattern Recognition, Automated Image Interpretation, Computer-Assisted Adult Reproducibility of Results Image Enhancement Aged Sensitivity and Specificity Male
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Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

Gastrointestinal endoscopy Apr 22, 2015
BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon cancer occurrence. However, manual extraction of data to calculate and track the ADR in clinical practice is labor-intensive. To overcome this difficulty...
Adenoma Natural Language Processing Colonic Neoplasms Humans Documentation Female Colonoscopy Quality Indicators, Health Care Early Detection of Cancer Male Electronic Data Processing
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Automated colon cancer detection using hybrid of novel geometric features and some traditional features.

Computers in biology and medicine Mar 16, 2015
Automatic classification of colon into normal and malignant classes is complex due to numerous factors including similar colors in different biological constituents of histopathological imagery. Therefore, such techniques, which exploit the textural ...
Biopsy Male Models, Biological Humans Image Processing, Computer-Assisted Colonic Neoplasms Female Support Vector Machine
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