Sleep staging and obstructive sleep apnea (OSA) detection are central to sleep medicine, yet remain con-strained by the complexity of full polysomnography (PSG) and the subjectivity of manual scoring. We present SomniTrack, a multimodal framework that integrates EEG and ECG to automate sleep assessment without relyin...
The proposed framework effectively integrates novel preprocessing, segmentation, hybrid feature representation, feature optimization, and classification strategies to improve the robustness and accuracy of automated skin cancer classification and demonstrates its potential to support reliable computer-aided diagnosis a...
The proposed framework effectively incorporated MedSAM-based tumor segmentation, radiomic feature analysis, and deep feature representation and sequential dependency modeling all in a single diagnostic workflow for lung cancer evaluation and diagnosis.
Mohammad Shorfuzzaman, Abdullah Iftikhar, Shaheryar Najam et al.· Diagnostics· 0 citations
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