AIMC Topic: Biopsy
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Spatio-temporal deep learning models for tip force estimation during needle insertion.
International journal of computer assisted radiology and surgery
May 30, 2019
PURPOSE: Precise placement of needles is a challenge in a number of clinical applications such as brachytherapy or biopsy. Forces acting at the needle cause tissue deformation and needle deflection which in turn may lead to misplacement or injury. He...
Pathologist-level classification of histopathological melanoma images with deep neural networks.
European journal of cancer (Oxford, England : 1990)
May 23, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports 25-26% ...
Cancer taxonomy: pathology beyond pathology.
European journal of cancer (Oxford, England : 1990)
May 17, 2019
The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker and drug development. In addition, cancer taxonomy proves the ground truth for future discoveries in ...
Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.
Virchows Archiv : an international journal of pathology
May 16, 2019
Histopathologic grading of prostate cancer using Gleason patterns (GPs) is subject to a large inter-observer variability, which may result in suboptimal treatment of patients. With the introduction of digitization and whole-slide images of prostate b...
Physician Review of a Celiac Disease Risk Estimation and Decision-Making Expert System.
Journal of the American College of Nutrition
May 7, 2019
Celiac disease is a genetic disease affecting people of all ages, resulting in small intestine enteropathy. It is considered to be a clinical chameleon. Average prevalence of celiac disease is 1 out of 100 people with data indicating the risk may be...
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 ...
Use of a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samples: a prospective validation study.
The Lancet. Respiratory medicine
Apr 1, 2019
BACKGROUND: In the appropriate clinical setting, the diagnosis of idiopathic pulmonary fibrosis (IPF) requires a pattern of usual interstitial pneumonia to be present on high-resolution chest CT (HRCT) or surgical lung biopsy. A molecular usual inter...
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.
Computational and mathematical methods in medicine
Mar 3, 2019
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is...
Sensitivity and Specificity
Humans
Reproducibility of Results
Breast Neoplasms
Biopsy
Neural Networks, Computer
Image Processing, Computer-Assisted
Software
Middle Aged
Aged
Breast
Early Detection of Cancer
Algorithms
Young Adult
Deep Learning
Stochastic Processes
Prognosis
Calcinosis
Adult
Female
Mammography
Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.
Biomedical engineering online
Jan 24, 2019
BACKGROUND: Quantizing the Breast Imaging Reporting and Data System (BI-RADS) criteria into different categories with the single ultrasound modality has always been a challenge. To achieve this, we proposed a two-stage grading system to automatically...
Versatility of fuzzy logic in chronic diseases: A review.
Medical hypotheses
Nov 27, 2018
The review aims at providing current state of evidence in the field of medicine with fuzzy logic for diagnosing diseases. Literature reveals that fuzzy logic has been used effectively in medicine. Different types of methodologies have been applied to...
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