AIMC Topic: Rectum

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Deep Learning for Real-time, Automatic, and Scanner-adapted Prostate (Zone) Segmentation of Transrectal Ultrasound, for Example, Magnetic Resonance Imaging-transrectal Ultrasound Fusion Prostate Biopsy.

European urology focus Apr 23, 2019
BACKGROUND: Although recent advances in multiparametric magnetic resonance imaging (MRI) led to an increase in MRI-transrectal ultrasound (TRUS) fusion prostate biopsies, these are time consuming, laborious, and costly. Introduction of deep-learning ...
Artificial Intelligence Aged Aged, 80 and over Adult Humans Magnetic Resonance Imaging Prostate Male Middle Aged Deep Learning Ultrasonography Rectum Biopsy Image-Guided Biopsy
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CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Medical image analysis Mar 21, 2019
Accurate segmentation of the prostate and organs at risk (e.g., bladder and rectum) in CT images is a crucial step for radiation therapy in the treatment of prostate cancer. However, it is a very challenging task due to unclear boundaries, large intr...
Radiographic Image Interpretation, Computer-Assisted Organs at Risk Urinary Bladder Humans Tomography, X-Ray Computed Male Deep Learning Imaging, Three-Dimensional Prostatic Neoplasms Rectum
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Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.

Academic radiology Jan 30, 2019
RATIONALE AND OBJECTIVES: To use machine learning-based magnetic resonance imaging radiomics to predict metachronous liver metastases (MLM) in patients with rectal cancer.
Middle Aged ROC Curve Liver Neoplasms Adenocarcinoma Algorithms Retrospective Studies Female Male Neoplasm Metastasis Support Vector Machine Magnetic Resonance Imaging Rectum Rectal Neoplasms Humans
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Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.

PLoS medicine Jan 24, 2019
BACKGROUND: For virtually every patient with colorectal cancer (CRC), hematoxylin-eosin (HE)-stained tissue slides are available. These images contain quantitative information, which is not routinely used to objectively extract prognostic biomarkers....
Humans Prognosis Retrospective Studies Female Hematoxylin Rectum Coloring Agents Image Interpretation, Computer-Assisted Eosine Yellowish-(YS) Colorectal Neoplasms Male Colon Deep Learning
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Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video).

Gastrointestinal endoscopy Sep 27, 2018
BACKGROUND AND AIMS: In the treatment of ulcerative colitis (UC), an incremental benefit of achieving histologic healing beyond that of endoscopic mucosal healing has been suggested; persistent histologic inflammation increases the risk of exacerbati...
Colonoscopy Diagnosis, Computer-Assisted Inflammation Colitis, Ulcerative Intestinal Mucosa Humans Rectum Artificial Intelligence Automation Machine Learning Sensitivity and Specificity Male Middle Aged Colon Algorithms Retrospective Studies Female Reproducibility of Results
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Experimental infection of Friesian bulls with Theileria orientalis (Ikeda) and effects on the haematocrit, live weight, rectal temperature and activity.

Veterinary parasitology, regional studies and reports Sep 15, 2018
Since 2012, New Zealand has suffered from an epidemic of infectious bovine anaemia associated with T. orientalis (Ikeda), an obligate intracellular protozoan parasite of cattle. Despite widespread agreement that T. orientalis (Ikeda) infection has im...
Random Allocation Polymerase Chain Reaction Body Temperature Theileria Theileriasis New Zealand Body Weight Hematocrit Anemia Animals Male Cattle Rectum
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Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images.

Medical physics May 3, 2018
PURPOSE: Manual contouring of gross tumor volumes (GTV) is a crucial and time-consuming process in rectum cancer radiotherapy. This study aims to develop a simple deep learning-based autosegmentation algorithm to segment rectal tumors on T2-weighted ...
Magnetic Resonance Imaging Rectum Rectal Neoplasms Humans Tumor Burden Neural Networks, Computer Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study.

Physics in medicine and biology Oct 12, 2017
Better understanding of the dose-toxicity relationship is critical for safe dose escalation to improve local control in late-stage cervical cancer radiotherapy. In this study, we introduced a convolutional neural network (CNN) model to analyze rectum...
Humans Neural Networks, Computer Retrospective Studies Female Uterine Cervical Neoplasms Rectum Radiotherapy Dosage Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Brachytherapy
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Clinical implementation of a knowledge based planning tool for prostate VMAT.

Radiation oncology (London, England) May 8, 2017
BACKGROUND: A knowledge based planning tool has been developed and implemented for prostate VMAT radiotherapy plans providing a target average rectum dose value based on previously achievable values for similar rectum/PTV overlap. The purpose of this...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Rectum Knowledge Bases Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Algorithms Male Prostatic Neoplasms
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Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

Scientific reports Feb 24, 2017
The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that machine/statistical learning methods using single nucleotide polymorphism (SNP)-based genome-wide associ...
Genome-Wide Association Study Cohort Studies Polymorphism, Single Nucleotide Gene Expression Regulation, Neoplastic Aged Biomarkers, Tumor Male Middle Aged Rectum Hemorrhage Erectile Dysfunction Radiation Tolerance Humans Gamma Rays Machine Learning Signal Transduction Prognosis Neoplasm Proteins Prostatic Neoplasms Prostate
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