Semantic Lung Segmentation from Chest X-ray Images Using Seg-Net Deep CNN Model
Implementing an accurate image segmentation to extract the lung shape from X-ray images is a vital step in designing a CAD system that diagnoses various types of chest diseases. Lung segmentation is a complex process due to the blurred regions that separate the lung area and the rest of the image. T...
Saved in:
| Main Authors: | Dathar Abas Hasan, Umed Hayder Jader |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Erbil Polytechnic University
2023-10-01
|
| Series: | Polytechnic Journal |
| Subjects: | |
| Online Access: | https://polytechnic-journal.epu.edu.iq/home/vol13/iss2/1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced semantic lung segmentation with a hybrid SegNet-ResNet50 network
by: Mohammad Farukh Hashmi, et al.
Published: (2025-08-01) -
Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images
by: Shadman Q. Salih, et al.
Published: (2020-06-01) -
SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection
by: Muhammad Tariq Shaheen, et al.
Published: (2025-01-01) -
The pig pose recognition method based on pig body semantic segmentation
by: Nuonan Huang, et al.
Published: (2025-12-01) -
Segmentation of glioblastomas via 3D FusionNet
by: Xiangyu Guo, et al.
Published: (2024-11-01)