Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations [PDF]
arXiv, 2022 Small bowel path tracking is a challenging problem considering its many folds and contact along its course. For the same reason, it is very costly to achieve the ground-truth (GT) path of the small bowel in 3D. In this work, we propose to train a deep reinforcement learning tracker using datasets with different types of annotations.
arxiv
Effectiveness of Self-Compassion Training on Symptoms of Irritable Bowel Syndrome
Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Qum, 2020 Background and Objectives: Irritable Bowel Syndrome is one of the most common gastrointestinal diseases that involve a considerable part of society. In this regard, the present study aimed to investigate the effectiveness of self-compassion training on ...
ٍEzzatollah Ahmadi +2 more
doaj
Augmenting Gastrointestinal Health: A Deep Learning Approach to Human Stool Recognition and Characterization in Macroscopic Images [PDF]
arXiv, 2019 Purpose - Functional bowel diseases, including irritable bowel syndrome, chronic constipation, and chronic diarrhea, are some of the most common diseases seen in clinical practice. Many patients describe a range of triggers for altered bowel consistency and symptoms.
arxiv
Estimating Individualized Treatment Rules for Ordinal Treatments [PDF]
arXiv, 2017 Precision medicine is an emerging scientific topic for disease treatment and prevention that takes into account individual patient characteristics. It is an important direction for clinical research, and many statistical methods have been recently proposed. One of the primary goals of precision medicine is to obtain an optimal individual treatment rule
arxiv
Soft Syndrome Decoding of Quantum LDPC Codes for Joint Correction of Data and Syndrome Errors [PDF]
arXiv, 2022 Quantum errors are primarily detected and corrected using the measurement of syndrome information which itself is an unreliable step in practical error correction implementations. Typically, such faulty or noisy syndrome measurements are modeled as a binary measurement outcome flipped with some probability.
arxiv
The epidemiology of irritable bowel syndrome [PDF]
Clinical Epidemiology, 2014 Irritable bowel syndrome (IBS) is a functional condition of the bowel that is diagnosed using clinical criteria. This paper discusses the nature of the diagnostic process for IBS and how this impacts epidemiological measurements. Depending on the diagnostic criteria employed, IBS affects around 11% of the population globally.
Canavan, Caroline +2 more
openaire +7 more sources
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning [PDF]
The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient's disease state and a better understanding of the underlying biological processes of a disease. However, the analysis of multi-modal, multi-omics data presents many challenges, including high dimensionality and varying size ...
arxiv +1 more source
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT [PDF]
arXiv, 2022 Method: ProRSeg was trained using 5-fold cross-validation with 110 T2-weighted MRI acquired at 5 treatment fractions from 10 different patients, taking care that same patient scans were not placed in training and testing folds. Segmentation accuracy was measured using Dice similarity coefficient (DSC) and Hausdorff distance at 95th percentile (HD95 ...
arxiv
Comparison of the personality characteristics and coping strategies between the patients with irritable bowel syndrome and normal individuals [PDF]
مجله علمی دانشگاه علوم پزشکی کردستان, 2019 Background and Aim: Personality and stress are associated with irritable bowel disease. The aim of this study was to compare personality characteristics and coping strategies between the patients with irritable bowel syndrome and normal individuals ...
Khaledian H +3 more
doaj +2 more sources
Computed Flow and Fluorescence Over the Ocular Surface [PDF]
arXiv, 2016 Fluorescein is perhaps the most commonly used substance to visualize tear film thickness and dynamics; better understanding of this process aids understanding of dry eye syndrome which afflicts millions of people. We study a mathematical model for tear film flow, evaporation, solutal transport and fluorescence over the exposed ocular surface during the
arxiv