Multi-Task Learning for Lung sound & Lung disease classification

arXiv:2404.03908v1 Announce Type: new
Abstract: In recent years, advancements in deep learning techniques have considerably enhanced the efficiency and accuracy of medical diagnostics. In this work, a novel approach using multi-task learning (MTL) for the simultaneous classification of lung sounds and lung diseases is proposed. Our proposed model leverages MTL with four different deep learning models such as 2D CNN, ResNet50, MobileNet and Densenet to extract relevant features from the lung sound recordings. The ICBHI 2017 Respiratory Sound Database was …

abstract accuracy arxiv classification cs.ai cs.lg cs.sd deep learning deep learning techniques diagnostics disease diseases efficiency medical multi-task learning novel sound type work