Respiratory disease classification using lung sound analysis offers a non-invasive and cost-effective diagnostic alternative to traditional imaging-based methods. This study proposes a deep learning-based optimization framework for automated respirat... read more
Tomato production is a crucial component of the agricultural sector in Asian countries. Accurate forecasting of tomato production is essential for effective agricultural planning, resource allocation, and ensuring food security in the region. This st... read more
To develop a context-aware multi-instance learning (TransMIL) model based on whole-slide pathological images and integrate it with clinical parameters, thereby constructing a multimodal model for prognostic prediction in postoperative cervical cancer... read more
Fecalith-associated appendicitis presents unique challenges in conservative management due to increased perforation risk. Early identification of patients at high risk for appendiceal perforation during conservative treatment remains crucial for opti... read more
Automated skin lesion detection is essential for early dermatological diagnosis. Most deep learning algorithms employ dermoscopic images and ignore the clinical context of dermatologists. This constraint decreases the robustness and interpretability,... read more
Wall shear stress (WSS) is a key hemodynamic parameter associated with atherosclerotic plaque development in coronary arteries. In this study, we developed a physics-informed graph neural network (PI-GNN) for efficient prediction of WSS distributions... read more
This study proposes a collaborative design optimization framework based on the improved Faster Region-based Convolutional Neural Network (Faster R-CNN). It aims to handle the current situation of over-reliance on subjective experience and low collabo... read more
Skin cancer is among the most prevalent and life-threatening dermatological diseases worldwide, with melanoma responsible for a substantial proportion of skin cancer-related deaths due to delayed and unreliable diagnosis. Conventional clinical screen... read more
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