Nature

Metaheuristic optimization of deep CNNs for multi-class diagnosis of cervical cancer and lymphoma

A Comprehensive Multi-Algorithm Framework: Most current studies either rely on manual hyperparameter tuning or test a single optimizer in isolation. In contrast, the article suggested a framework that ...
Nature

Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture

Development of a multi-modal deep learning framework that fuses satellite, drone, and IoT sensor data for comprehensive crop health assessment. Implementation of an automated diagnostic pipeline—from ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Gastroenterology Advisor

Artificial Intelligence Algorithms Improve Early ESCC Detection at Endoscopy

Endoscopy-based deep learning algorithms achieve higher sensitivity, specificity, and overall diagnostic accuracy than endoscopists for early ESCC detection.