HCL Net: Deep Learning for Accurate Classification of Honeycombing Lung and Ground Glass Opacity in CT Images

Honeycombing Lung (HCL) is a chronic lung condition marked by advanced fibrosis, resulting in enlarged air spaces with thick fibrotic walls, which are visible on Computed Tomography (CT) scans. Differentiating between normal ... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-11-14
DOI
https://doi.org/10.32604/cmc.2025.067781
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HCL Net: Deep Learning for Accurate Classification of Honeycombing Lung and Ground Glass Opacity in CT Images

Liyana Shuib, Muneer Ahmad, Chermaine Deepa Antony, Hairul Aysa Abdul Halim Sithiq
Computers, materials & continua/Computers, materials & continua (Print)
COVID-19 diagnosis using AI
article

HCL Net: Deep Learning for Accurate Classification of Honeycombing Lung and Ground Glass Opacity in CT Images

Liyana Shuib, Muneer Ahmad, Chermaine Deepa Antony, Hairul Aysa Abdul Halim Sithiq
article en

Abstract

Honeycombing Lung (HCL) is a chronic lung condition marked by advanced fibrosis, resulting in enlarged air spaces with thick fibrotic walls, which are visible on Computed Tomography (CT) scans. Differentiating between normal ... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 86(1)
Openalex Percentile: Top 51%
COVID-19 diagnosis using AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.