همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

HETLN: A Hybrid Ensemble Model for Precise Localization of Breast Cancer Tumors in Radiotherapy Treatment

نویسندگان :

Hassan Salarabadi¹ Dariush Salimi² Negin Farshchian³ Mehdi Zoberi⁴

1- دانشگاه زنجان 2- دانشگاه زنجان 3- دانشگاه علوم پزشکی کرمانشاه 4- دانشگاه علوم پزشکی کرمانشاه

کلمات کلیدی :

Breast cancer،radiotherapy،semantic segmentation،transfer learning،ensemble learning

چکیده :

Abstract Breast cancer is characterized by the uncontrolled proliferation of cells within the breast tissue, leading to the formation of tumors. Following surgical removal of tumors, radiotherapy techniques are commonly employed to prevent the growth of any remaining cancer cells in the surrounding area. However, accurately identifying the precise location of cancer cells for targeted X-ray radiation poses a significant challenge in radiotherapy treatment. In recent times, semantic segmentation has emerged as a suitable deep-learning method for object detection, particularly in the context of medical images. The objective of this study is to develop a hybrid ensemble model, referred to as HETLN (Hybrid Ensemble Transfer Learning Network), which combines the UNet architecture with transfer learning networks as a backbone. The purpose of this model is to identify the critical regions required for radiotherapy treatment accurately. The proposed model provides 98% accuracy and 91% Mean-IoU score respectively. The conducted qualitative and quantitative performance analysis experiments show that the proposed model performs better in specifying the areas for targeted X-ray radiation.

لیست مقالات

لیست مقالات بایگانی شده

Integrated bioinformatic analysis for the screening of hub genes & therapeutic drugs in high-grade serous ovarian cancer

Maryam Khalili - Behnaz Saffar

Predicting Anticancer Drug Repurposing Candidates using Knowledge Graphs

Marzieh Khodadadi AghGhaleh - Rooholah Abedian - Reza Zarghami - Sajjad Gharaghani

Expansion and Sequencing of the DNA Code Used in the COVID-19 Vaccine Using Meta-Heuristic Algorithms

Ahmad Aliyari Boroujeni - Mohammadreza Parsayi - Hossein Rahmati

Identification of Driver Genes in Glioblastoma Based on Single-Cell Gene Expression Data Using Integrated Pseudotime and Phylogenetic Analysis

Fateme Mirza-Abolhassani - Sobhan Ahmadian Moghadam - Fatemeh Zare-Mirakabad - Kaveh Kavousi

Single-Cell Transcriptomic Analysis Reveals Cellular Heterogeneity and Molecular Markers in Acute Leukemia Subtypes

Fatemeh Mohagheghian - Zahra Salehi - Najmeh Salehi

Molecular Investigation of Periplasmic Sensor Histidine Kinase Interactions in Regulating UV Shield Formation of Cyanobacteria Nostoc Sp

Maryam Eskafi - Maryam Azimzadeh Irani

A Clustering-Based Method for Preserving Manifold Structure in EEG Signals Classification

Shermin Shahbazi - Majid Ramezani

Elucidating Inflammatory Pathways in ‎‎Polycystic Ovary Syndrome: A ‎‎Transcriptomic Investigation of Granulosa ‎‎Cell Gene Expression

Mobina Afshari Kave - Farinaz Behfarjam - Maryam Shahhosseini - Mostafa Rafiepour ‎ - Zahra Safaei Nezhad

Bioinformatics analysis of the binding of various ligands to the acylhemoserine lactonase derived from Bacillus.

Nasim Forghani - Matia sadat Borhani - Zoheir Heshmatipour - Mahmoud Salehi - Mohadeseh Piri

Comparative Analysis of Enzybiotic Gene Abundance Across Environmental Microbiomes with Varied Plastic Pollution Levels

Arad Ariaeenejad - Arman Hasannejad - Donya Afshar Jahanshahi - Mohammad Reza Zabihi - Shohreh Ariaeenejad - Kaveh Kavousi

بیشتر