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Comparison of machine learning algorithms and deep learning in the diagnosis of liver cancer

Publish Year: 1403
Type: Conference paper
Language: Persian
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INDEXCONF03_012

Index date: 19 August 2024

Comparison of machine learning algorithms and deep learning in the diagnosis of liver cancer abstract

Today, liver cancer is spreading quietly and at an alarming rate and is the fourth leading cause of death worldwide, many people have no symptoms in the early stages of the disease. The liver plays an important role in maintaining the health of the body because it is one of the largest organs in the abdomen. If the disease is diagnosed late, people can live only one year. Advances in artificial intelligence have inspired the development of algorithms in the field of cancer. Due to the advancement of technology, doctors and specialists can treat diseases without surgery and with image processing, which is a technique with the help of mathematical operations and any kind of signal processing that helps to better diagnose cancers, every year out of millions. People lose their lives. Prevention with correct diagnosis The aim of this paper is image processing for liver cancer diagnosis using deep learning (DL) and deep machine (ML). Segmenting the liver is difficult, and separating the tumor from the liver adds a bit of difficulty. Machine learning and deep learning algorithms are used for pre-screening, diagnosis and management of liver cancer patients through diagnostic image analysis and responsible for liver segmentation. Computed tomography images of the tumor are classified between metastases and cholangiocarcinoma and LiTS. In the deep learning model, it shows the relationship with accuracy, dice similarity coefficient and feature parameters compared to existing well-known algorithms and it is well adapted to different sets. The similarity coefficient of dice in this model is about ۹۰% and it shows the superiorityof this method.

Comparison of machine learning algorithms and deep learning in the diagnosis of liver cancer Keywords:

Comparison of machine learning algorithms and deep learning in the diagnosis of liver cancer authors

Hediyeh ShahHosseini

Software student, Shahrood non-profit university

Maryam Jalali

Assistant Professor, Shahrood Institute of Higher Education

مقاله فارسی "Comparison of machine learning algorithms and deep learning in the diagnosis of liver cancer" توسط Hediyeh ShahHosseini، Software student, Shahrood non-profit university؛ Maryam Jalali، Assistant Professor, Shahrood Institute of Higher Education نوشته شده و در سال 1403 پس از تایید کمیته علمی سومین همایش بین المللی دستاوردهای نوین در فناوری اطلاعات، علوم کامپیوتر، امنیت، شبکه و هوش مصنوعی پذیرفته شده است. کلمات کلیدی استفاده شده در این مقاله Liver cancer, image processing, deep learning, deep machine,tomographic images. هستند. این مقاله در تاریخ 29 مرداد 1403 توسط سیویلیکا نمایه سازی و منتشر شده است و تاکنون 117 بار صفحه این مقاله مشاهده شده است. در چکیده این مقاله اشاره شده است که Today, liver cancer is spreading quietly and at an alarming rate and is the fourth leading cause of death worldwide, many people have no symptoms in the early stages of the disease. The liver plays an important role in maintaining the health of the body because it is one of the largest organs in the abdomen. If the disease is ... . این مقاله در دسته بندی موضوعی یادگیری ماشین و پردازش تصویر و یادگیری عمیق طبقه بندی شده است. برای دانلود فایل کامل مقاله Comparison of machine learning algorithms and deep learning in the diagnosis of liver cancer با 12 صفحه به فرمت PDF، میتوانید از طریق بخش "دانلود فایل کامل" اقدام نمایید.