AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Colonic Neoplasms

Showing 171 to 180 of 180 articles

Clear Filters

Feature specific quantile normalization enables cross-platform classification of molecular subtypes using gene expression data.

Bioinformatics (Oxford, England)
MOTIVATION: Molecular subtypes of cancers and autoimmune disease, defined by transcriptomic profiling, have provided insight into disease pathogenesis, molecular heterogeneity and therapeutic responses. However, technical biases inherent to different...

Short-term outcomes in patients with colon cancer treated with robotic right colectomy.

Journal of B.U.ON. : official journal of the Balkan Union of Oncology
PURPOSE: To report a single surgeon series of consecutive robotic right colectomies (RRC) performed for non-metastatic right colon cancer.

Histopathological image classification with bilinear convolutional neural networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The computer-aided quantitative analysis for histopathological images has attracted considerable attention. The stain decomposition on histopathological images is usually recommended to address the issue of co-localization or aliasing of tissue subst...

A Pooled Analysis of Robotic Versus Laparoscopic Surgery for Colon Cancer.

Surgical laparoscopy, endoscopy & percutaneous techniques
OBJECTIVE: An increasing number of studies have been reported since the "Da Vinci" Robotic System was used in gastrointestinal disease. Thus, we conducted this meta-analysis to evaluate the safety and efficacy of robotic colectomy (RC) compared with ...

A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery.

Oncotarget
Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical ...

[Laparoscopic Surgery for T4b Colorectal Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy
BACKGROUND: It is considered difficult to perform laparoscopic surgery for colorectal cancer with T4b that is directly invades to adjacent organs. This retrospective study evaluated pT4b colorectal cancer in terms of the efficacy of laparoscopic surg...

[Sensitization of human colon cancer HT-29 cells to TRAIL-induced apoptosis by gambognic acid].

Yao xue xue bao = Acta pharmaceutica Sinica
To investigate the effects of gambognic acid (GA) on TRAIL-induced apoptosis of cancer cells, human colon HT-29 cancer cells were treated with GA to promote apoptosis. Inhibition of the cell proliferation was measured with MTT assay and cell apoptosi...

Regularised extreme learning machine with misclassification cost and rejection cost for gene expression data classification.

International journal of data mining and bioinformatics
The main purpose of traditional classification algorithms on bioinformatics application is to acquire better classification accuracy. However, these algorithms cannot meet the requirement that minimises the average misclassification cost. In this pap...