Any damage that affects the normal functioning of the lungs is termed as a lung disease,

which can prove fatal if not detected early. To address this challenge, two innovative techniques proposed

for the lung disease classification, supporting medical professionals to diagnose and provides preventive

measures at an early stage. The proposed Model 1 integrates a custom MobileNetV2L2 architecture, that

builds upon the MobileNetV2 framework through fine-tuning and customization. This model incorporates a

DOI Link: 
10.21227/c5ax-qj62
Links or DOI: 
Lung Diseases X-Rays (Grayscale)
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Dataset Files

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[1] OMKAR MANOHAR DALVI , "Lungs Disease Dataset (4 types)", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/c5ax-qj62. Accessed: Mar. 22, 2025.
@data{c5ax-qj62-24,
doi = {10.21227/c5ax-qj62},
url = {http://dx.doi.org/10.21227/c5ax-qj62},
author = {OMKAR MANOHAR DALVI },
publisher = {IEEE Dataport},
title = {Lungs Disease Dataset (4 types)},
year = {2024} }
TY - DATA
T1 - Lungs Disease Dataset (4 types)
AU - OMKAR MANOHAR DALVI
PY - 2024
PB - IEEE Dataport
UR - 10.21227/c5ax-qj62
ER -
OMKAR MANOHAR DALVI . (2024). Lungs Disease Dataset (4 types). IEEE Dataport. http://dx.doi.org/10.21227/c5ax-qj62
OMKAR MANOHAR DALVI , 2024. Lungs Disease Dataset (4 types). Available at: http://dx.doi.org/10.21227/c5ax-qj62.
OMKAR MANOHAR DALVI . (2024). "Lungs Disease Dataset (4 types)." Web.
1. OMKAR MANOHAR DALVI . Lungs Disease Dataset (4 types) [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/c5ax-qj62
OMKAR MANOHAR DALVI . "Lungs Disease Dataset (4 types)." doi: 10.21227/c5ax-qj62