AIMC Topic: Adenoma
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Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy.
Computational and mathematical methods in medicine
Aug 18, 2020
METHODS: We collected and sorted out the white light endoscopic images of some patients undergoing colonoscopy. The convolutional neural network model is used to detect whether the image contains lesions: CRC, colorectal adenoma (CRA), and colorectal...
Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI.
Neuroradiology
Jul 23, 2020
PURPOSE: Pituitary macroadenoma consistency can influence the ease of lesion removal during surgery, especially when using a transsphenoidal approach. Unfortunately, it is not assessable on standard qualitative MRI. Radiomic texture analysis could he...
Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.
Medical science monitor : international medical journal of experimental and clinical research
Jun 18, 2020
BACKGROUND Thyroid nodules are extremely common and typically diagnosed with ultrasound whether benign or malignant. Imaging diagnosis assisted by Artificial Intelligence has attracted much attention in recent years. The aim of our study was to build...
Thyroid Cancer, Papillary
Humans
Goiter, Nodular
Female
Thyroid Neoplasms
Male
Ultrasonography
Aged
Middle Aged
Thyroid Nodule
Carcinoma, Neuroendocrine
Aged, 80 and over
Deep Learning
Adenoma
Thyroid Carcinoma, Anaplastic
Image Interpretation, Computer-Assisted
Young Adult
Adolescent
Granuloma
Adenocarcinoma, Follicular
Adult
Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.
Gastroenterology
May 1, 2020
BACKGROUND & AIMS: One-fourth of colorectal neoplasias are missed during screening colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems allow for real-time computer-aided detection (CADe) of polyps with high accuracy. ...
The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis.
Journal of gastroenterology and hepatology
Apr 26, 2020
BACKGROUND AND AIM: The utility of artificial intelligence (AI) in colonoscopy has gained popularity in current times. Recent trials have evaluated the efficacy of deep convolutional neural network (DCNN)-based AI system in colonoscopy for improving ...
How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening.
Gastrointestinal endoscopy clinics of North America
Apr 11, 2020
Artificial intelligence may improve value in colonoscopy-based colorectal screening and surveillance by improving quality and decreasing unnecessary costs. The quality of screening and surveillance as measured by adenoma detection rates can be improv...
A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.
European journal of radiology
Feb 13, 2020
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemical...
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...
Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model.
Scientific reports
Jan 8, 2020
We aimed to develop a computer-aided diagnostic system (CAD) for predicting colorectal polyp histology using deep-learning technology and to validate its performance. Near-focus narrow-band imaging (NBI) pictures of colorectal polyps were retrieved f...
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
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