AIMC Topic: Biopsy
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Deep learning-based grading of ductal carcinoma in situ in breast histopathology images.
Laboratory investigation; a journal of technical methods and pathology
Feb 19, 2021
Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer that can progress into invasive ductal carcinoma (IDC). Studies suggest DCIS is often overtreated since a considerable part of DCIS lesions may never progress into IDC. Lower grade lesio...
Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk.
JNCI cancer spectrum
Feb 6, 2021
BACKGROUND: Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge.
A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.
IEEE/ACM transactions on computational biology and bioinformatics
Feb 3, 2021
Higher-resolution biopsy slice images reveal many details, which are widely used in medical practice. However, taking high-resolution slice images is more costly than taking low-resolution ones. In this paper, we propose a joint framework containing ...
Breath biopsy of breast cancer using sensor array signals and machine learning analysis.
Scientific reports
Jan 8, 2021
Breast cancer causes metabolic alteration, and volatile metabolites in the breath of patients may be used to diagnose breast cancer. The objective of this study was to develop a new breath test for breast cancer by analyzing volatile metabolites in t...
Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens.
JAMA network open
Jan 4, 2021
IMPORTANCE: A chronic shortage of donor kidneys is compounded by a high discard rate, and this rate is directly associated with biopsy specimen evaluation, which shows poor reproducibility among pathologists. A deep learning algorithm for measuring p...
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies.
BMC medicine
Dec 22, 2020
BACKGROUND: Colposcopy diagnosis and directed biopsy are the key components in cervical cancer screening programs. However, their performance is limited by the requirement for experienced colposcopists. This study aimed to develop and validate a Colp...
Deep learning extended depth-of-field microscope for fast and slide-free histology.
Proceedings of the National Academy of Sciences of the United States of America
Dec 14, 2020
Microscopic evaluation of resected tissue plays a central role in the surgical management of cancer. Because optical microscopes have a limited depth-of-field (DOF), resected tissue is either frozen or preserved with chemical fixatives, sliced into t...
Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies.
BMC gastroenterology
Dec 11, 2020
BACKGROUND: Helicobacter pylori, a 2 × 1 μm spiral-shaped bacterium, is the most common risk factor for gastric cancer worldwide. Clinically, patients presenting with symptoms of gastritis, routinely undergo gastric biopsies. The following histo-morp...
A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Dec 9, 2020
Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat in hepatocytes with concurrent inflammation and is associated with morbidity, cirrhosis and liver failure. After extraction of a liver core biopsy, tis...
Non-alcoholic Fatty Liver Disease
Clinical Decision-Making
Coloring Agents
Female
Microscopy
Liver Cirrhosis
Reproducibility of Results
Neural Networks, Computer
Azo Compounds
Adult
Humans
Liver
Software
Aged
Aged, 80 and over
Hematoxylin
Male
Predictive Value of Tests
Severity of Illness Index
Decision Support Techniques
Image Interpretation, Computer-Assisted
Young Adult
Middle Aged
Methyl Green
Biopsy
Adolescent
Retrospective Studies
Eosine Yellowish-(YS)
Child
Staining and Labeling
Noninvasive Precision Screening of Prostate Cancer by Urinary Multimarker Sensor and Artificial Intelligence Analysis.
ACS nano
Dec 9, 2020
Screening for prostate cancer relies on the serum prostate-specific antigen test, which provides a high rate of false positives (80%). This results in a large number of unnecessary biopsies and subsequent overtreatment. Considering the frequency of t...
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