Thyroid Nodule Detection using Artificial Neural Network

Kesarkar, Xhitij A.; Kulhalli, Kshama V.

doi:10.1109/icais50930.2021.9396035

Cited by 11 publications

(2 citation statements)

References 14 publications

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“…Recently, authors have [18] applied Hidden Markov Model for detection and segmentation of thyroid region from ultrasound images. In [19], authors used ANN to classify thyroid nodules using Region of Interest (RoI) from blocks for texture calculation and for segmentation they use Active Contour without Edge (ACwE). Unlike existing research work, in the proposed work a comprehensive model is used to classify all the types of thyroid diseases using modified ResNet architecture in CNN.…”

Section: Literature Surveymentioning

confidence: 99%

A Novel Technique for Detecting Various Thyroid Diseases Using Deep Learning

Prathibha¹,

Dahiya²,

Robin³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Thyroid disease is a medical condition caused due to the excess release of thyroid hormone. It is released by the thyroid gland which is in front of the neck just below the larynx. Medical pictures such as X-rays and CT scans can, however, be used to diagnose it. In this proposed model, Deep Learning technology is used to detect thyroid diseases. A Convolution Neural Network (CNN) based modified ResNet architecture is employed to detect five different types of thyroid diseases namely 1. Hypothyroid 2. Hyperthyroid 3. Thyroid cancer 4. Thyroiditis 5. Thyroid nodules. In the proposed work, the training method is enhanced using dual optimizers for better accuracy and results. Keras, a Python library that is high level runs as the main part of the Tensor Flow framework. It is used in the proposed work to implement deep learning techniques. The comparative analysis of the proposed model and the existing work helps to show that there is a great improvement in the performance metrics in classifying the type of thyroid disease. By applying Adam and SGD (Stochastic Gradient Descent) optimizers in the training phase of the proposed model it was identified that these increase the operational efficiency of the modified ResNet model. After retraining the model with SGD, the modified ResNet provides more accuracy of about 97% whereas the basic ResNet architecture attains 94% accuracy. A web-based framework is also developed which yields the type of thyroid disease as the output for a given input scanned image of the system.

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Section: Literature Surveymentioning

confidence: 99%

A Novel Technique for Detecting Various Thyroid Diseases Using Deep Learning

Prathibha¹,

Dahiya²,

Robin³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Analysis [10]- [17] Clinical Asessment [18]- [21] Detection and Identification [22]- [29] Diagnose [30]- [55] Classification and Characterization [56]- [64] Performance Improvement, Accuracy, and Diagnostic Evaluation (Optimization) [65]- [82] Treatment and Management [52], [39], [83]- [85] Prediction [86]- [89] Medical Robot [90] Telemedicine [91] The number of applied artificial intelligence for thyroid disorders is generally used to diagnose thyroid disorders (n = 26) and then followed to improve performance, accuracy, and diagnostic evaluation (n = 18). Generally, this application is based on CAD (computer-aided diagnosis) either in the form of ultrasound or other types of radiology and is also related to medical images.…”

Section: Applied Of Ai Referencementioning

confidence: 99%

Artificial Intelligence for Thyroid Disorders: A Systematic Review

Hakim

Satria

Arief

et al. 2021

SITech

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The thyroid gland plays a very important role in hormonal regulation in the human body. If the thyroid gland has a disorder, it can affect the performance of body functions. The development of artificial intelligence technology today allows an expert such as a doctor to be helped by his work. One of the important roles of artificial intelligence is helping doctors, among others, to diagnose a patient to determine appropriate post-diagnosis care. The study aims to shed light on the role of artificial intelligence in the treatment of thyroid disorders.The thyroid gland plays a very important role in hormonal regulation in the human body. If the thyroid gland has a disorder, it can affect the performance of body functions. The development of artificial intelligence technology today allows an expert such as a doctor to be helped by his work. One of the important roles of artificial intelligence is helping doctors, among others, to diagnose a patient to determine appropriate post-diagnosis care. The study aims to shed light on the role of artificial intelligence in the treatment of thyroid disorders.

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