A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation

A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation

Early detection and analysis of lung cancer involve a precise and efficient lung nodule segmentation in computed tomography (CT) images. However, the anonymous shapes, visual features, and surroundings of the nodules as observed in the CT images pose a challenging and critical problem to the robust...

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Bibliographic Details
Main Authors: Chandra Sekhara Rao Annavarapu, Samson Anosh Babu Parisapogu, Nikhil Varma Keetha, Praveen Kumar Donta, Gurindapalli Rajita
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Diagnostics
Subjects:
segmentation
deep learning
computed tomography
medical image analysis
Online Access:https://www.mdpi.com/2075-4418/13/8/1406

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https://www.mdpi.com/2075-4418/13/8/1406

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