A new study presents an optimized EfficientNetB0 framework that incorporates CLAHE‑based preprocessing to boost multi‑class chest X‑ray classification accuracy. The method reduces noise and enhances contrast, enabling more reliable detection of lung diseases worldwide.
The Signal
By improving diagnostic precision, it supports faster, cost‑effective screening in diverse clinical settings, advancing global health outcomes.