Colon Cancer

Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network.

Colorectal cancer (CRC) is a major global health concern. Its early diagnosis is extremely important...

Overview of Deep Learning in Gastrointestinal Endoscopy.

Artificial intelligence is likely to perform several roles currently performed by humans, and the ad...

Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

OBJECTIVES: The aim of this study was to test the ability of a commercially available natural langua...

Cancer Phenotype Development: A Literature Review.

EHR-based, computable phenotypes can be leveraged by healthcare organizations and researchers to imp...

Recognition of Lung Adenocarcinoma-specific Gene Pairs Based on Genetic Algorithm and Establishment of a Deep Learning Prediction Model.

AIM AND OBJECTIVE: Lung cancer is a disease with a dismal prognosis and is the major cause of cancer...

Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and ther...

Enrichment of Up-regulated and Down-regulated Gene Clusters Using Gene Ontology, miRNAs and lncRNAs in Colorectal Cancer.

AIM AND OBJECTIVE: It is interesting to find the gene signatures of cancer stages based on the omics...

Anticancer Activity of Polyisoprenoids from Blume. in WiDr Cells.

Colorectal cancer is the third most common cancer world wide and has been occurred more in developin...

Large Cell Neuroendocrine Carcinoma of the Extrahepatic Bile Duct.

Primary neuroendocrine tumors originating from the extrahepatic bile duct are rare. Among these tumo...

Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy.

Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many ...

[A Surgical Case of AFP-Producing Gastric Cancer Discovered by Rupture of Liver Metastatic Lesion].

A 57-year-old man visited our hospital with right hypochondralgia. Abdominal contrast CT showed a 10...

[A Case of Pelvic Metastasis of Rectal Cancer That Developed Ten Years after Curative Resection].

We report a case of pelvic metastasis of rectal cancer that developed 10 years after curative resect...

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was ...

[COLONSCORE: THE USE OF MACHINE LEARNING OF BIG DATA TO DETECT COLORECTAL CANCER].

The use of big data is in its first years of entering the medical world. Big data research enables a...

Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights.

Colorectal cancer is one of the common cancers in the United States. Polyps are one of the major cau...

Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network.

Colorectal cancer is one of the highest causes of cancer-related death, especially in men. Polyps ar...

A 3D Convolutional Neural Network Framework for Polyp Candidates Detection on the Limited Dataset of CT Colonography.

Proper training of convolutional neural networks (CNNs) requires annotated training datasets oflarge...

Potential of artificial intelligence-assisted colonoscopy using an endocytoscope (with video).

NLPReViz: an interactive tool for natural language processing on clinical text.

The gap between domain experts and natural language processing expertise is a barrier to extracting ...

Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning.

Using gene markers and other patient features to predict clinical outcomes plays a vital role in enh...

Security and Radical Assessment in Open, Laparoscopic, Robotic Colorectal Cancer Surgery: A Comparative Study.

PURPOSE: This retrospective study was designed to assess the safety and effectiveness of open, lapar...