A New Regression Method for Diagnosis of Lung Cancer Disease
A radiologist typically diagnoses lung cancer by visually inspecting Computed Tomography (CT) scan images. The procedure is time-consuming, tedious, and prone to errors. Aside from that, variations in intensity in CT scan images, as well as anatomical structure misjudgment by doctors and radiologist...
Published in: | ICCSCE 2022 - Proceedings: 2022 12th IEEE International Conference on Control System, Computing and Engineering |
---|---|
Main Author: | 2-s2.0-85142449435 |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142449435&doi=10.1109%2fICCSCE54767.2022.9935634&partnerID=40&md5=ba95af94278513dcf4186a633fc63729 |
Similar Items
-
A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images
by: 2-s2.0-85169056234
Published: (2023) -
A new three-term conjugate gradient method with application to regression analysis
by: 2-s2.0-85135164489
Published: (2022) -
A Comparative Study of Image Segmentation Technique applied for Lung Cancer Detection
by: 2-s2.0-85084317034
Published: (2019) -
A genetic algorithm-based multi-objective optimization of an artificial neural network classifier for breast cancer diagnosis
by: 2-s2.0-84884812989
Published: (2013) -
A new procedure for lung region segmentation from computed tomography images
by: 2-s2.0-85135269500
Published: (2022)