AIMC Topic: Biopsy

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Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips.

Tissue & cell Dec 4, 2019
Despite profound knowledge of the incidence of oral cancers and a large body of research beyond it, it continues to beat diagnosis and treatment management. Post physical observation by clinicians, a biopsy is a gold standard for accurate detection o...
Carcinoma, Squamous Cell Mouth Neoplasms Male Humans Datasets as Topic Image Processing, Computer-Assisted Artificial Intelligence Biopsy Cell Nucleus Female
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Development of a Deep Learning Algorithm for the Histopathologic Diagnosis and Gleason Grading of Prostate Cancer Biopsies: A Pilot Study.

European urology focus Nov 22, 2019
BACKGROUND: The pathologic diagnosis and Gleason grading of prostate cancer are time-consuming, error-prone, and subject to interobserver variability. Machine learning offers opportunities to improve the diagnosis, risk stratification, and prognostic...
Male Deep Learning Pilot Projects Prostatic Neoplasms Neoplasm Grading Prostate Biopsy Image Interpretation, Computer-Assisted Humans Algorithms
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Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network.

Scientific reports Nov 15, 2019
Deep-UV (DUV) excitation fluorescence microscopy has potential to provide rapid diagnosis with simple technique comparing to conventional histopathology based on hematoxylin and eosin (H&E) staining. We established a fluorescent staining protocol for...
Software Algorithms Image Processing, Computer-Assisted Lymph Nodes Humans Neural Networks, Computer Machine Learning Immunohistochemistry Fluorescent Antibody Technique Lymphatic Metastasis Microscopy, Fluorescence Biopsy Image Interpretation, Computer-Assisted
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CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

International journal of computer assisted radiology and surgery Nov 13, 2019
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the deadliest neoplasm) are staging and histology, this work aimed to associate quantitative contrast-enhanced computed tomography (CT) features from malig...
Humans Machine Learning Middle Aged Lung ROC Curve Lung Neoplasms Predictive Value of Tests Neoplasm Staging Biopsy Neoplasm Metastasis Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Adult Female Male
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Predictive models with the use of omics and supervised machine learning to diagnose non-alcoholic fatty liver disease: A "non-invasive alternative" to liver biopsy?

Metabolism: clinical and experimental Nov 9, 2019
Supervised Machine Learning Non-alcoholic Fatty Liver Disease Humans Metabolomics Biopsy
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Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides.

JAMA network open Nov 1, 2019
IMPORTANCE: Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown pro...
Humans Neural Networks, Computer Esophageal Neoplasms Computer Simulation Microscopy Deep Learning Datasets as Topic Adenocarcinoma Barrett Esophagus Biopsy
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Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 21, 2019
PURPOSE: Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep neural netwo...
Neoplasm Recurrence, Local Staining and Labeling Follow-Up Studies Area Under Curve Biopsy Disease Progression Deep Learning Image Processing, Computer-Assisted Algorithms Retrospective Studies Female Melanoma Risk Factors Adult Aged Survival Rate Humans Aged, 80 and over Male Neural Networks, Computer Young Adult Middle Aged
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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.

Radiology Oct 8, 2019
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic support for human interpretation requires further evaluation. Purpose To compare t...
Prostatic Neoplasms Biopsy Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Humans Retrospective Studies Aged Sensitivity and Specificity Male Middle Aged
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Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.

JAMA network open Oct 2, 2019
IMPORTANCE: A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and ...
Humans Prospective Studies Female Melanoma Deep Learning Biopsy Adult Skin Neoplasms ROC Curve Photography Dermoscopy Male Smartphone Aged Middle Aged Area Under Curve
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Deep Learning-Based Histopathologic Assessment of Kidney Tissue.

Journal of the American Society of Nephrology : JASN Sep 5, 2019
BACKGROUND: The development of deep neural networks is facilitating more advanced digital analysis of histopathologic images. We trained a convolutional neural network for multiclass segmentation of digitized kidney tissue sections stained with perio...
Nephrectomy Humans Kidney Transplantation Deep Learning Kidney Biopsy
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