A computer-aided diagnosis of brain tumors using a fine-tuned YOLO-based model with transfer learning
FJP Montalbo - KSII Transactions on Internet and Information …, 2020 - koreascience.kr
This paper proposes transfer learning and fine-tuning techniques for a deep learning model
to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this …
to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this …
[HTML][HTML] Brain tumor detection based on deep learning approaches and magnetic resonance imaging
Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …
Deep learning based brain tumor detection and classification
NM Dipu, SA Shohan… - … International conference on …, 2021 - ieeexplore.ieee.org
One of the most crucial tasks of neurologists and radiologists is early brain tumor detection.
However, manually detecting and segmenting brain tumors from Magnetic Resonance …
However, manually detecting and segmenting brain tumors from Magnetic Resonance …
Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine‐Tuning Approach
T Shelatkar, Urvashi, M Shorfuzzaman… - … Methods in Medicine, 2022 - Wiley Online Library
Brain cancer is a rare and deadly disease with a slim chance of survival. One of the most
important tasks for neurologists and radiologists is to detect brain tumors early. Recent …
important tasks for neurologists and radiologists is to detect brain tumors early. Recent …
Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning
The human brain has a complicated structure, making it difficult to diagnose any brain
ailments, particularly when they affect important parts of the brain. A brain tumor with a high …
ailments, particularly when they affect important parts of the brain. A brain tumor with a high …
RCS-YOLO: A fast and high-accuracy object detector for brain tumor detection
With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks
have become one of the most efficient algorithms for object detection. However, the …
have become one of the most efficient algorithms for object detection. However, the …
A YOLOv3 deep neural network model to detect brain tumor in portable electromagnetic imaging system
This paper presents the detection of brain tumors through the YOLOv3 deep neural network
model in a portable electromagnetic (EM) imaging system. YOLOv3 is a popular object …
model in a portable electromagnetic (EM) imaging system. YOLOv3 is a popular object …
A two-tier framework based on googlenet and yolov3 models for tumor detection in mri
Abstract Medical Image Analysis (MIA) is one of the active research areas in computer
vision, where brain tumor detection is the most investigated domain among researchers due …
vision, where brain tumor detection is the most investigated domain among researchers due …
Yolo-based object detection models: A review and its applications
A Vijayakumar, S Vairavasundaram - Multimedia Tools and Applications, 2024 - Springer
In computer vision, object detection is the classical and most challenging problem to get
accurate results in detecting objects. With the significant advancement of deep learning …
accurate results in detecting objects. With the significant advancement of deep learning …
[HTML][HTML] Statistical analysis of design aspects of various YOLO-based deep learning models for object detection
Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …
networks have significantly enhanced their performance in the last decade. There are two …