For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival... read more
Whole Slide Image (WSI) analysis, with its ability to reveal detailed tissue
structures in magnified views, plays a crucial role in cancer diagnosis and
prognosis. Due to their giga-sized nature, WSIs require substantial storage and
computational r... read more
Soil-transmitted helminth (STH) infections remain a significant public health concern in rural areas, often leading to nutritional and physical impairment, particularly in children. This study aimed to assess the prevalence and associated factors of ... read more
Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge for super-resolution microscopy, owing to the noticeable phototoxicity and limited scanning speed. While emerging light-field microscopy can mitigate t... read more
Prostate cancer (PCa) is the most prevalent malignant tumor in males, and many patients remain at risk of biochemical recurrence (BCR) following initial treatment. Accurate prediction of BCR is vital for effective clinical management and treatment pl... read more
For lightweight automotive applications, friction drilling is a choice candidate for ecofriendly drilling of aluminium matrix composites (AMCs) with green snail shell reinforcement. The present work investigates the effects of significant process var... read more
Articulated object recognition -- the task of identifying both the geometry
and kinematic joints of objects with movable parts -- is essential for enabling
robots to interact with everyday objects such as doors and laptops. However,
existing approa... read more
Chronic Obstructive Pulmonary Disease (COPD) is a serious and debilitating
disease affecting millions around the world. Its early detection using
non-invasive means could enable preventive interventions that improve quality
of life and patient outc... read more
This research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on tradi... read more
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