Results 31 to 40 of about 3,074 (142)

Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos [PDF]

open access: yesarXiv, 2022
Ultrasound examination is widely used in the clinical diagnosis of thyroid nodules (benign/malignant). However, the accuracy relies heavily on radiologist experience. Although deep learning techniques have been investigated for thyroid nodules recognition. Current solutions are mainly based on static ultrasound images, with limited temporal information
arxiv  

Translational Potential of Epigenetic-Based Markers on Fine-Needle Aspiration Thyroid Specimens

open access: yesFrontiers in Medicine, 2021
The awareness of epigenetic alterations leading to neoplasia attracted the attention of researchers toward its potential use in the management of cancer, from diagnosis to prognosis and prediction of response to therapies.
Sule Canberk   +11 more
doaj   +1 more source

Expert System Based On Neural-Fuzzy Rules for Thyroid Diseases Diagnosis [PDF]

open access: yes, 2014
The thyroid, an endocrine gland that secretes hormones in the blood, circulates its products to all tissues of the body, where they control vital functions in every cell. Normal levels of thyroid hormone help the brain, heart, intestines, muscles and reproductive system function normally.
arxiv   +1 more source

Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data [PDF]

open access: yesarXiv, 2021
Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing technique is proposed to improve the area of interest in MRI data and a hybrid technique using Convolutional ...
arxiv  

Symptom based Hierarchical Classification of Diabetes and Thyroid disorders using Fuzzy Cognitive Maps [PDF]

open access: yesarXiv, 2021
Fuzzy Cognitive Maps (FCMs) are soft computing technique that follows an approach similar to human reasoning and human decision-making process, making them a valuable modeling and simulation methodology. Medical Decision Systems are complex systems consisting of many factors that may be complementary, contradictory, and competitive; these factors ...
arxiv  

Secondary Neoplasms in Children with Hodgkin's Lymphoma Receiving C-MOPP and Radiotherapy: Presentation of Four Cases

open access: yesTurkish Journal of Hematology, 2016
Patients who survive Hodgkin lymphoma (HL) are at increased risk of secondary neoplasms (SNs). A wide variety of SNs have been reported, including leukemias, non-Hodgkin's lymphomas, and solid tumors, specifically breast and thyroid cancers.
Sevgi Gözdaşoğlu   +10 more
doaj   +1 more source

Subclassification of Follicular Neoplasms Recommended by the Japan Thyroid Association Reporting System of Thyroid Cytology

open access: yesInternational Journal of Endocrinology, 2015
Background. The Japan Thyroid Association recently published guidelines for clinical practice for the management of thyroid nodules, which include a diagnostic system for reporting thyroid fine needle aspiration cytology.
Kennichi Kakudo   +4 more
doaj   +1 more source

Diagnostic challenges in the assessment of thyroid neoplasms using nuclear features and vascular and capsular invasion: a multi-center interobserver agreement study [PDF]

open access: yesJournal of Pathology and Translational Medicine
Background The diagnosis of thyroid neoplasms necessitates the identification of distinct histological features. Various education/hospital centers located in cities across Indonesia likely result in discordances among pathologists when diagnosing ...
Agnes Stephanie Harahap   +19 more
doaj   +1 more source

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions [PDF]

open access: yesarXiv, 2023
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable diseases. One of the key challenges in this field is detecting thyroid cancer, where advancements have been made using machine learning (ML) and big data analytics to evaluate ...
arxiv  

A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future [PDF]

open access: yesarXiv, 2020
Thyroid cancer is common worldwide, with a rapid increase in prevalence across North America in recent years. While most patients present with palpable nodules through physical examination, a large number of small and medium-sized nodules are detected by ultrasound examination. Suspicious nodules are then sent for biopsy through fine needle aspiration.
arxiv  

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