AIMC Topic: Colorectal Neoplasms

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Real-time colorectal cancer diagnosis using PR-OCT with deep learning.

Theranostics Feb 3, 2020
Prior reports have shown optical coherence tomography (OCT) can differentiate normal colonic mucosa from neoplasia, potentially offering an alternative technique to endoscopic biopsy - the current gold-standard colorectal cancer screening and surveil...
Image Processing, Computer-Assisted Tomography, Optical Coherence Colon Diagnosis, Computer-Assisted Deep Learning Humans Aged Aged, 80 and over Colorectal Neoplasms Middle Aged
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Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond.

International journal of environmental research and public health Jan 28, 2020
There have been prior attempts to utilize machine learning to address issues in the medical field, particularly in diagnoses using medical images and developing therapeutic regimens. However, few cases have demonstrated the usefulness of machine lear...
Early Detection of Cancer Physical Examination Social Change Humans Tokyo Machine Learning Colorectal Neoplasms
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Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer.

Academic radiology Jan 23, 2020
RATIONALE AND OBJECTIVES: We assess the performance of a model combining a deep convolutional neural network and a hand-crafted radiomics signature for predicting KRAS status in patients with colorectal cancer (CRC).
Colorectal Neoplasms Deep Learning Proto-Oncogene Proteins p21(ras) Algorithms Tomography, X-Ray Computed Humans
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Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.

The lancet. Gastroenterology & hepatology Jan 22, 2020
BACKGROUND: Colonoscopy with computer-aided detection (CADe) has been shown in non-blinded trials to improve detection of colon polyps and adenomas by providing visual alarms during the procedure. We aimed to assess the effectiveness of a CADe system...
Mass Screening Adenoma Double-Blind Method Deep Learning China Incidence Clinical Alarms Colonic Polyps Observer Variation Early Diagnosis Colorectal Neoplasms Male Middle Aged Colonoscopy Case-Control Studies Diagnosis, Computer-Assisted Humans Female Adult
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Machine Learning in Prediction of Second Primary Cancer and Recurrence in Colorectal Cancer.

International journal of medical sciences Jan 15, 2020
BACKGROUND: Colorectal cancer (CRC) is the third commonly diagnosed cancer worldwide. Recurrence of CRC (Re) and onset of a second primary malignancy (SPM) are important indicators in treating CRC, but it is often difficult to predict the onset of a ...
Humans Machine Learning Female Risk Factors Colorectal Neoplasms Male Support Vector Machine
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Use of Artificial Intelligence-Based Analytics From Live Colonoscopies to Optimize the Quality of the Colonoscopy Examination in Real Time: Proof of Concept.

Gastroenterology Jan 13, 2020
Humans Prospective Studies Colorectal Neoplasms Datasets as Topic Proof of Concept Study Mass Screening Colon Rectum Colonoscopy Image Interpretation, Computer-Assisted Deep Learning
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FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Cancer medicine Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Neoplasm Recurrence, Local Oligonucleotide Array Sequence Analysis Fluorouracil Humans Intracellular Signaling Peptides and Proteins Protein Kinases Response Evaluation Criteria in Solid Tumors Colorectal Neoplasms Datasets as Topic Leucovorin Gene Expression Profiling Biomarkers, Tumor Gene Expression Regulation, Neoplastic Machine Learning Organoplatinum Compounds Antineoplastic Combined Chemotherapy Protocols Prognosis Cell Cycle Proteins
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Use of Endoscopic Impression, Artificial Intelligence, and Pathologist Interpretation to Resolve Discrepancies Between Endoscopy and Pathology Analyses of Diminutive Colorectal Polyps.

Gastroenterology Dec 18, 2019
Colonic Polyps Image Interpretation, Computer-Assisted Optical Imaging Colorectal Neoplasms Humans Colonoscopy Artificial Intelligence Adenoma Decision Support Techniques
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Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 16, 2019
Tumor budding is a promising and cost-effective biomarker with strong prognostic value in colorectal cancer. However, challenges related to interobserver variability persist. Such variability may be reduced by immunohistochemistry and computer-aided ...
Keratins Humans Biomarkers, Tumor Machine Learning Colorectal Neoplasms Observer Variation Immunohistochemistry
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A modular cGAN classification framework: Application to colorectal tumor detection.

Scientific reports Dec 12, 2019
Automatic identification of tissue structures in the analysis of digital tissue biopsies remains an ongoing problem in digital pathology. Common barriers include lack of reliable ground truth due to inter- and intra- reader variability, class imbalan...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Immunohistochemistry Female Colorectal Neoplasms Male
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