AIMC Topic: Hyperplasia

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Deep learning-based prediction of treatment prognosis from nasal polyp histology slides.

International forum of allergy & rhinology Sep 18, 2022
BACKGROUND: Histopathology of nasal polyps contains rich prognostic information, which is difficult to extract objectively. In the present study, we aimed to develop a prognostic indicator of patient outcomes by analyzing scanned conventional hematox...
Deep Learning Nasal Polyps Eosinophils Hyperplasia Humans Prognosis
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Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy.

BMC medicine Aug 26, 2022
BACKGROUND: Accurate diagnosis of unexplained cervical lymphadenopathy (CLA) using medical images heavily relies on the experience of radiologists, which is even worse for CLA patients in underdeveloped countries and regions, because of lack of exper...
Deep Learning Lymphadenopathy Lymphoma Carcinoma Humans Retrospective Studies Hyperplasia Tuberculosis, Lymph Node
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Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning.

Oral oncology Jun 25, 2022
OBJECTIVES: To estimate the probability of malignancy of an oral leukoplakia lesion using Deep Learning, in terms of evolution to cancer and high-risk dysplasia.
Hyperplasia Leukoplakia, Oral Humans Deep Learning Cell Transformation, Neoplastic
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Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett's esophagus.

Gastrointestinal endoscopy Jun 17, 2022
BACKGROUND AND AIMS: The risk of progression in Barrett's esophagus (BE) increases with development of dysplasia. There is a critical need to improve the diagnosis of BE dysplasia, given substantial interobserver disagreement among expert pathologist...
Hyperplasia Humans Deep Learning Disease Progression Adenocarcinoma Esophageal Neoplasms Barrett Esophagus
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Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast.

Clinical breast cancer Jun 7, 2020
INTRODUCTION: We previously developed a convolutional neural networks (CNN)-based algorithm to distinguish atypical ductal hyperplasia (ADH) from ductal carcinoma in situ (DCIS) using a mammographic dataset. The purpose of this study is to further va...
Neural Networks, Computer Prospective Studies Female Aged Humans Mammography Diagnosis, Differential Biopsy Radiographic Image Interpretation, Computer-Assisted Adult Breast Neoplasms Middle Aged ROC Curve Mammary Glands, Human Carcinoma, Intraductal, Noninfiltrating Datasets as Topic Hyperplasia
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Discriminant analysis and interpretation of nuclear chromatin distribution and coarseness using gray-level co-occurrence matrix features for lobular endocervical glandular hyperplasia.

Diagnostic cytopathology May 6, 2020
BACKGROUND: Lobular endocervical glandular hyperplasia (LEGH) is a disease considered to be the origin of tumorigenesis of minimal deviation adenocarcinoma, which has characteristic expression in the gastric pyloric mucosa. It is difficult to diagnos...
Hyperplasia Chromatin Uterine Cervical Neoplasms Middle Aged Papanicolaou Test Adenocarcinoma Support Vector Machine Discriminant Analysis Image Interpretation, Computer-Assisted Humans Female Aged Adult
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Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.

Gastroenterology Feb 29, 2020
BACKGROUND & AIMS: Narrow-band imaging (NBI) can be used to determine whether colorectal polyps are adenomatous or hyperplastic. We investigated whether an artificial intelligence (AI) system can increase the accuracy of characterizations of polyps b...
Seoul Adenomatous Polyps Narrow Band Imaging Clinical Competence Colorectal Neoplasms Predictive Value of Tests Colonoscopy Workflow Humans Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Colonic Polyps Deep Learning Observer Variation Reproducibility of Results Hyperplasia Visual Perception
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Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach.

Scientific reports Apr 25, 2017
Machine learning systems have recently received increased attention for their broad applications in several fields. In this study, we show for the first time that histological types of breast tumors can be classified using subtle morphological differ...
Breast Neoplasms Transcription Factors Support Vector Machine Epithelial Cells Carcinoma, Intraductal, Noninfiltrating Tumor Suppressor Proteins Immunohistochemistry Hyperplasia Humans Machine Learning Female Aged Cellular Microenvironment
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Computerized analysis of calcification of thyroid nodules as visualized by ultrasonography.

European journal of radiology Jun 25, 2015
OBJECTIVE: The purpose of this study is to quantify computerized calcification features from ultrasonography (US) images of thyroid nodules in order to determine the ability to differentiate between malignant and benign thyroid nodules.
Hyperplasia Carcinoma, Papillary Thyroiditis Sensitivity and Specificity Calcinosis Humans Aged Male Ultrasonography Diagnosis, Differential Neural Networks, Computer Aged, 80 and over Middle Aged Thyroid Nodule Area Under Curve Retrospective Studies Thyroid Neoplasms Adult ROC Curve Feasibility Studies Female Image Processing, Computer-Assisted
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Multi-center colonoscopy quality measurement utilizing natural language processing.

The American journal of gastroenterology Mar 10, 2015
BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could improve the effectiveness and cost-effectiveness of colorectal cancer (CRC) screening and surveillance. The purpose of this study was to create and te...
Reference Standards Early Detection of Cancer Hyperplasia Humans Adenoma Colorectal Neoplasms Medical Records Natural Language Processing Colonoscopy Colonic Polyps
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