Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images.
Sign Up to like & getrecommendations! Published in 2020 at "Oral oncology"
DOI: 10.1016/j.oraloncology.2020.104862
Abstract: OBJECTIVES We aimed to develop a dual-task model to detect and segment nasopharyngeal carcinoma (NPC) automatically in magnetic resource images (MRI) based on deep learning method, since the differential diagnosis of NPC and atypical benign… read more here.
Keywords: segmentation; model; nasopharyngeal carcinoma; self constrained ... See more keywords
MentalAId: an improved DenseNet model to assist scalable psychosis assessment
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DOI: 10.1186/s12888-025-07194-4
Abstract: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions for general psychotic disorders. Regretfully, traditional symptom-based, one-to-one assessment face inherent limitations in large-scale and longitudinal screening,… read more here.
Keywords: densenet model; assessment; assist; mentalaid improved ... See more keywords
Identification Method of Mature Wheat Varieties Based on Improved DenseNet Model
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DOI: 10.3390/agriculture15070736
Abstract: Wheat is a crucial grain crop in China, yet differentiating different wheat varieties at the mature stage solely through visual observation remains challenging. However, the automatic identification of wheat varieties at the mature stage is… read more here.
Keywords: densenet model; wheat varieties; wheat; model ... See more keywords