Gastroenterology

A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks.

Compared with conventional gastroscopy which is invasive and painful, wireless capsule endoscopy (WC...

Deep learning enables pathologist-like scoring of NASH models.

Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis ...

Re: Robotic Transanal Minimally Invasive Rectal Mucosa Harvest.

A Low-Cost Nanomaterial-based Electrochemical Immunosensor on Paper for High-Sensitivity Early Detection of Pancreatic Cancer.

Due to the lack of specific early detection methods for pancreatic cancer, it usually goes undetecte...

Liver tumor segmentation based on 3D convolutional neural network with dual scale.

PURPOSE: Liver is one of the organs with a high incidence of tumors in the human body. Malignant liv...

Liver tumor segmentation in CT volumes using an adversarial densely connected network.

BACKGROUND: Malignant liver tumor is one of the main causes of human death. In order to help physici...

The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.

"miRNA colorectal cancer" (https://mirna-coadread.omics.si/) is a freely available web application f...

Inverse association between infection and childhood asthma in Greece: a case-control study.

INTRODUCTION: infection is a well-established etiological factor for a variety of diseases such as ...

An overview of deep learning algorithms and water exchange in colonoscopy in improving adenoma detection.

: Among the Gastrointestinal (GI) Endoscopy Editorial Board top 10 topics in advances in endoscopy i...

Decision tree algorithm in locally advanced rectal cancer: an example of over-interpretation and misuse of a machine learning approach.

PURPOSE: To analyse the classification performances of a decision tree method applied to predictor v...

Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study.

OBJECTIVE: Diagnostic tests, such as Immunoscore, predict prognosis in patients with colon cancer. H...

Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.

BACKGROUND: Accurate and standardized descriptions of organs at risk (OARs) are essential in radiati...

A novel artificial intelligence system for the assessment of bowel preparation (with video).

BACKGROUND AND AIMS: The quality of bowel preparation is an important factor that can affect the eff...

Pure transanal total mesorectal excision for rectal cancer: experience with 55 cases.

BACKGROUND: Although the anatomic difficulties of laparoscopic surgery for rectal cancer have been r...

Upper gastrointestinal anatomy detection with multi-task convolutional neural networks.

Esophagogastroduodenoscopy (EGD) has been widely applied for gastrointestinal (GI) examinations. How...

Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset.

This Letter presents a stable polyp-scene classification method with low false positive (FP) detecti...

Isolated Hepatic Metastasis of Prostate Cancer with Variable F-fluociclovine Uptake by PET/CT Imaging.

A 74-year-old man presented with rapid rising prostate-specific antigen (PSA) 2 years after treatmen...

Predictors, Presentation, and Treatment Outcomes of Recurrent Hepatocellular Carcinoma After Liver Transplantation: A Large Single Center Experience.

BACKGROUND: Liver transplantation (LT) is an accepted therapeutic option for hepatocellular carcinom...

An Early Intestinal Cancer Prediction Algorithm Based on Deep Belief Network.

The incidence of colorectal cancer (colorectal cancer, CRC) in China has increased in recent years, ...

A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwid...

Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.

BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating ...