AIMC Topic: Biopsy
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Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.
Journal of magnetic resonance imaging : JMRI
Feb 13, 2018
BACKGROUND: Partin tables represent the most widely used predictive tool for prostate cancer stage at prostatectomy but with potential limitations.
Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.
The Journal of investigative dermatology
Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Diagnosis, Differential
Humans
Predictive Value of Tests
Software
Keratosis, Seborrheic
Female
Area Under Curve
Middle Aged
Warts
Skin
Biopsy
Skin Neoplasms
Deep Learning
Young Adult
Granuloma, Pyogenic
Datasets as Topic
Aged
ROC Curve
Adult
Keratosis, Actinic
Image Processing, Computer-Assisted
False Positive Reactions
Aged, 80 and over
Male
Lentigo
Photography
Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network.
Computer methods and programs in biomedicine
Feb 6, 2018
BACKGROUND AND OBJECTIVE: Development of machine assisted tools for automatic analysis of psoriasis skin biopsy image plays an important role in clinical assistance. Development of automatic approach for accurate segmentation of psoriasis skin biopsy...
Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks.
PloS one
Jan 19, 2018
This paper addresses the problem of quantifying biomarkers in multi-stained tissues based on the color and spatial information of microscopy images of the tissue. A deep learning-based method that can automatically localize and quantify the regions e...
Biopsy-Free Prediction of Pathologic Type of Primary Nephrotic Syndrome Using a Machine Learning Algorithm.
Kidney & blood pressure research
Dec 4, 2017
BACKGROUND/AIMS: Renal biopsy is the gold standard to determine the pathologic type of primary nephrotic syndrome, which is critical for diagnosis, choice of treatment and evaluation of prognosis. However, in some cases, renal biopsy cannot be perfor...
PSCA rs1045531 Polymorphism and the Risk of Prostate Cancer in a Chinese Population Undergoing Prostate Biopsy.
Technology in cancer research & treatment
Nov 14, 2017
BACKGROUND AND PURPOSE: This study explored the association between a single-nucleotide polymorphism of prostate stem cell antigen and prostate cancer in Chinese patients undergoing prostate biopsy.
Identification and segmentation of myelinated nerve fibers in a cross-sectional optical microscopic image using a deep learning model.
Journal of neuroscience methods
Aug 31, 2017
BACKGROUND: The morphometric analysis of myelinated nerve fibers of peripheral nerves in cross-sectional optical microscopic images is valuable. Several automated methods for nerve fiber identification and segmentation have been reported. This paper ...
Automated histological classification of whole-slide images of gastric biopsy specimens.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Jun 2, 2017
BACKGROUND: Automated image analysis has been developed currently in the field of surgical pathology. The aim of the present study was to evaluate the classification accuracy of the e-Pathologist image analysis software.
A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection.
Computer methods and programs in biomedicine
May 15, 2017
BACKGROUND AND OBJECTIVE: For cancer detection from microscopic biopsy images, image segmentation step used for segmentation of cells and nuclei play an important role. Accuracy of segmentation approach dominate the final results. Also the microscopi...
Positive surgical margin in robot-assisted radical prostatectomy: correlation with pathology findings and risk of biochemical recurrence.
Minerva urologica e nefrologica = The Italian journal of urology and nephrology
Mar 30, 2017
BACKGROUND: To analyze the correlation of surgical margin status with other findings on final pathology and risk of biochemical recurrence (BCR) in patients undergoing robot-assisted radical prostatectomy (RALP).
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