An Advanced Deep Learning Framework for Multi-Class Diagnosis from Chest X-ray Images

Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, Minas Dasygenis

J — Multidisciplinary Scientific Journal 2024 article cited by 32

importance 8/10 ai assisted COVID-19 diagnosis using AI medical imaging stage: research

Diagnosing multiple lung diseases (fibrosis, tuberculosis, pneumonia, COVID-19) from chest X-ray images quickly and accurately is difficult and requires expert radiologists.

Fast, accurate lung disease diagnosis affects treatment timing and patient survival.

A deep learning framework using a CNN with custom blocks to enhance feature maps was built to perform multi-class diagnosis of lung diseases from chest X-ray images.

not stated in source

The evidence only supports that a framework was evaluated on a large dataset with claimed superior performance.

Venue J — Multidisciplinary Scientific Journal
Published 2024
Work type article
Authors Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, Minas Dasygenis
Citations 32 (OpenAlex, at import time)
References 47
Model or method CNN with custom blocks
Organization not stated in source
Primary source https://doi.org/10.3390/j7010003
Open access gold
Keywords chest X-ray, deep learning, CNN, lung disease, multi-class diagnosis
8 / 10

major — millions of lives, an industry or a field

Multi-class diagnosis of common lung diseases incl. TB, pneumonia, COVID-19; chest X-ray described as vital to diagnosis. Major disease burden implied but no scale numbers given.

Basis: inferred. Judged from the source text, which gives no explicit scale. Stated scale: not stated in source. Method and limits.

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