AIMC Topic: Biopsy

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Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.

Gynecologic oncology Aug 16, 2020
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images, however, the effect in cervical cancer screening is inconclusive. We aim to evaluate the performance of AI-assisted cytology for the detecti...
Humans Female Adult Uterine Cervical Neoplasms Papillomavirus Infections Cervix Uteri Early Detection of Cancer Neoplasm Invasiveness Predictive Value of Tests Middle Aged Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Vaginal Smears Papillomaviridae Triage Colposcopy Biopsy Datasets as Topic Uterine Cervical Dysplasia
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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 5, 2020
The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at Gle...
Microscopy Image Interpretation, Computer-Assisted Observer Variation Prostatic Neoplasms Neoplasm Grading Biopsy Humans Pathologists Reproducibility of Results Male Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests
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Development and validation of an explainable artificial intelligence-based decision-supporting tool for prostate biopsy.

BJU international Aug 4, 2020
OBJECTIVES: To develop and validate a risk calculator for prostate cancer (PCa) and clinically significant PCa (csPCa) using explainable artificial intelligence (XAI).
Humans Artificial Intelligence Decision Support Systems, Clinical Area Under Curve Prostatic Neoplasms Prostate Biopsy Algorithms Aged Male Middle Aged Diagnosis, Computer-Assisted
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Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.

Computers in biology and medicine Aug 4, 2020
BACKGROUND AND OBJECTIVE: Breast cancer is a frequently diagnosed cancer in women, contributing to significant mortality rates. Death rates are relatively higher in developing nations due to the shortage of early detection amenities and constraints o...
Humans Female Breast Neoplasms Neural Networks, Computer Algorithms Biopsy Breast
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Impact of radiomics on the breast ultrasound radiologist's clinical practice: From lumpologist to data wrangler.

European journal of radiology Jul 30, 2020
OBJECTIVE: The study aims to assess the impact of radiomics in the clinical practice of breast ultrasound, to determine which lesions are undetermined by the software, and to discuss the future of the radiologist's role.
Biopsy Physician's Role Ultrasonography, Mammary Humans Phyllodes Tumor Breast Artificial Intelligence Sensitivity and Specificity Fibroadenoma Software Breast Neoplasms Female ROC Curve Diagnosis, Differential Radiologists
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The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Cancer medicine Jul 22, 2020
BACKGROUND: Adequate cytology is limited by insufficient cytologists in a large-scale cervical cancer screening. We aimed to develop an artificial intelligence (AI)-assisted cytology system in cervical cancer screening program.
Middle Aged Diagnosis, Computer-Assisted Deep Learning Humans China Uterine Cervical Dysplasia Early Detection of Cancer Aged Female Vaginal Smears Predictive Value of Tests Colposcopy Reproducibility of Results Young Adult Neoplasm Grading Adult Biopsy Uterine Cervical Neoplasms Cytodiagnosis
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Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning.

Gut Jul 20, 2020
OBJECTIVE: Complex phenotypes captured on histological slides represent the biological processes at play in individual cancers, but the link to underlying molecular classification has not been clarified or systematised. In colorectal cancer (CRC), hi...
Biopsy RNA Datasets as Topic Deep Learning Consensus Humans Gene Expression Regulation, Neoplastic Phenotype Predictive Value of Tests Prognosis Neoplasm Grading Colorectal Neoplasms Biomarkers, Tumor Disease Progression Gene Expression Profiling
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Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

European radiology Jul 16, 2020
OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus...
Humans Machine Learning Algorithms Retrospective Studies Reproducibility of Results Aged Aged, 80 and over Prostate Support Vector Machine Adult Biopsy Cluster Analysis Male Prostatectomy Principal Component Analysis Middle Aged Diffusion Magnetic Resonance Imaging Area Under Curve Treatment Outcome Multiparametric Magnetic Resonance Imaging Prostatic Neoplasms
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The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images.

Scientific reports Jul 15, 2020
Background Deep learning has presented considerable potential and is gaining more importance in computer assisted diagnosis. As the gold standard for pathologically diagnosing cervical intraepithelial lesions and invasive cervical cancer, colposcopy-...
Image Interpretation, Computer-Assisted Datasets as Topic Uterine Cervical Dysplasia Papillomaviridae Colposcopy Cervix Uteri Squamous Intraepithelial Lesions Humans Early Detection of Cancer Models, Statistical Retrospective Studies Neoplasm Grading Female Biopsy Adult Middle Aged Uterine Cervical Neoplasms Deep Learning Vaginal Smears Papillomavirus Infections
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Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies.

Laboratory investigation; a journal of technical methods and pathology Jul 13, 2020
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for risk stratification and management of patients with fatty liver diseases and in the decision to use donor livers for transplantation. However, patholo...
Image Interpretation, Computer-Assisted Fatty Liver Liver Biopsy Radiographic Image Interpretation, Computer-Assisted Humans Software Algorithms Deep Learning
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