DeepAI
Log In Sign Up

Automated Human Claustrum Segmentation using Deep Learning Technologies

11/18/2019
by   Ahmed Awad Albishri, et al.
34

In recent years, Deep Learning (DL) has shown promising results in conducting AI tasks such as computer vision and image segmentation. Specifically, Convolutional Neural Network (CNN) models in DL have been applied to prevention,detection, and diagnosis in predictive medicine. Image segmentation plays a significant role in disease detection and prevention.However, there are enormous challenges in performing DL-based automatic segmentation due to the nature of medical images such as heterogeneous modalities and formats, insufficient labeled training data, and the high-class imbalance in the labeled data. Furthermore, automating segmentation of medical images,like magnetic resonance images (MRI), becomes a challenging task. The need for automated segmentation or annotation is what motivates our work. In this paper, we propose a fully automated approach that aims to segment the human claustrum for analytical purposes. We applied a U-Net CNN model to segment the claustrum (Cl) from a MRI dataset. With this approach, we have achieved an average Dice per case score of 0.72 for Cl segmentation, with K=5 for cross-validation. The expert in the medical domain also evaluates these results.

READ FULL TEXT

page 2

page 3

page 4

page 6

07/06/2021

A new smart-cropping pipeline for prostate segmentation using deep learning networks

Prostate segmentation from magnetic resonance imaging (MRI) is a challen...
03/26/2021

Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation

To extract liver from medical images is a challenging task due to simila...
03/19/2019

Interactive segmentation of medical images through fully convolutional neural networks

Image segmentation plays an essential role in medicine for both diagnost...
03/23/2019

Automatic Pulmonary Lobe Segmentation Using Deep Learning

Pulmonary lobe segmentation is an important task for pulmonary disease r...
03/19/2021

Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline

Deep learning (DL) is the state-of-the-art methodology in various medica...
01/25/2021

Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study

Medical imaging has been employed to support medical diagnosis and treat...