Pre-trained deep learning models for brain MRI image classification
Brain tumors are serious conditions caused by uncontrolled and abnormal cell division. Tumors can have devastating implications if not accurately and promptly detected. Magnetic resonance imaging (MRI) is one of the methods frequently used to detect brain tumors owing to its excellent resolution. In...
Main Authors: | Srigiri Krishnapriya, Yepuganti Karuna |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-04-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2023.1150120/full |
Similar Items
-
Deep Learning based Framework for Emotion Recognition using Facial Expression
by: Nimra Bukhari, et al.
Published: (2022-11-01) -
Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks
by: Ahsan Shahzad, et al.
Published: (2023-05-01) -
Performance Analysis of Segmentation and Classification of CT-Scanned Ovarian Tumours Using U-Net and Deep Convolutional Neural Networks
by: Ashwini Kodipalli, et al.
Published: (2023-07-01) -
Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images
by: Abu Kowshir Bitto, et al.
Published: (2023-07-01) -
A Deep Learning Approach for Diabetic Foot Ulcer Classification and Recognition
by: Mehnoor Ahsan, et al.
Published: (2023-01-01)