An Efficient DA-Net Architecture for Lung Nodule Segmentation

An Efficient DA-Net Architecture for Lung Nodule Segmentation

A typical growth of cells inside tissue is normally known as a nodular entity. Lung nodule segmentation from computed tomography (CT) images becomes crucial for early lung cancer diagnosis. An issue that pertains to the segmentation of lung nodules is homogenous modular variants. The resemblance amo...

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Bibliographic Details
Main Authors: Muazzam Maqsood, Sadaf Yasmin, Irfan Mehmood, Maryam Bukhari, Mucheol Kim
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
lung nodule segmentation
online diagnosis
DA-Net
Atrous convolutions
unsupervised learning
Online Access:https://www.mdpi.com/2227-7390/9/13/1457

Internet

https://www.mdpi.com/2227-7390/9/13/1457

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