AIMC Topic: Thyroid Nodule
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A Matched-Pair Analysis of Nuclear Morphologic Features Between Core Needle Biopsy and Surgical Specimen in Thyroid Tumors Using a Deep Learning Model.
Endocrine pathology
Oct 14, 2022
Core needle biopsy (CNB) is a method that can be used as an alternative to fine-needle aspiration for the sampling of thyroid nodules to provide a preoperative diagnosis. Nuclear atypia is of paramount importance in diagnosing thyroid tumors. We aime...
Objective assessment of segmentation models for thyroid ultrasound images.
Journal of ultrasound
Oct 4, 2022
Ultrasound features related to thyroid lesions structure, shape, volume, and margins are considered to determine cancer risk. Automatic segmentation of the thyroid lesion would allow the sonographic features to be estimated. On the basis of clinical ...
Empirical Method for Thyroid Disease Classification Using a Machine Learning Approach.
BioMed research international
Jun 7, 2022
There are many thyroid diseases affecting people all over the world. Many diseases affect the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid inefficiency can cause severe symptoms in patients. Effective classificatio...
Classification of Thyroid Nodules by Using Deep Learning Radiomics Based on Ultrasound Dynamic Video.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
May 23, 2022
OBJECTIVES: We aimed to design a radiomics model for differential diagnosis of thyroid carcinoma based on dynamic ultrasound video, and compare its diagnostic performance with that of radiomics model based on static ultrasound images.
Clinical application of a 5G-based telerobotic ultrasound system for thyroid examination on a rural island: a prospective study.
Endocrine
Feb 18, 2022
PURPOSE: To evaluate the feasibility of a 5G-based telerobotic ultrasound (US) system for thyroid examination on a rural island.
Multi-channel convolutional neural network architectures for thyroid cancer detection.
PloS one
Jan 21, 2022
Early detection of malignant thyroid nodules leading to patient-specific treatments can reduce morbidity and mortality rates. Currently, thyroid specialists use medical images to diagnose then follow the treatment protocols, which have limitations du...
A deep learning-based method for detecting and classifying the ultrasound images of suspicious thyroid nodules.
Medical physics
Nov 17, 2021
PURPOSE: The incidence of thyroid cancer has significantly increased in the last few decades. However, diagnosis of the thyroid nodules is labor and time intensive for radiologists and strongly depends on the personal experience of the radiologists. ...
Diagnosing thyroid nodules with atypia of undetermined significance/follicular lesion of undetermined significance cytology with the deep convolutional neural network.
Scientific reports
Oct 8, 2021
To compare the diagnostic performances of physicians and a deep convolutional neural network (CNN) predicting malignancy with ultrasonography images of thyroid nodules with atypia of undetermined significance (AUS)/follicular lesion of undetermined s...
A deep-learning model to assist thyroid nodule diagnosis and management.
The Lancet. Digital health
Jun 10, 2021
A deep-learning model to assist thyroid nodule diagnosis and management - Authors' reply.
The Lancet. Digital health
Jun 10, 2021
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