Results 1 to 10 of about 76,969 (165)
Accurate Detection of Alzheimer’s Disease Using Lightweight Deep Learning Model on MRI Data
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by cognitive impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD is crucial for the development of effective treatments and interventions, as
Ahmed A. Abd El-Latif +3 more
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Force Map-Enhanced Segmentation of a Lightweight Model for the Early Detection of Cervical Cancer [PDF]
Background/Objectives: Accurate and efficient segmentation of cervical cells is crucial for the early detection of cervical cancer, enabling timely intervention and treatment.
Sabina Umirzakova +3 more
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Pepper-YOLO: an lightweight model for green pepper detection and picking point localization in complex environments [PDF]
In the cultivation of green chili peppers, the similarity between the fruit and background color, along with severe occlusion between fruits and leaves, significantly reduces the efficiency of harvesting robots.
Yikun Huang +13 more
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DTONet a Lightweight Model for Melanoma Segmentation. [PDF]
With the further development of neural networks, automatic segmentation techniques for melanoma are becoming increasingly mature, especially under the conditions of abundant hardware resources. This allows for the accuracy of segmentation to be improved by increasing the complexity and computational capacity of the model.
Hao S +6 more
europepmc +4 more sources
3D model lightweight technology
When the data volume of the 3D model increases, the model loading speed decreases and the browsing is not smooth. In order to solve the above problems, a 3D model lightweight technology based on the analysis of Cesium's model format 3DTiles is proposed ...
CHEN Long, GUO Jun, ZHANG Jianzhong
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An Efficient Deep Learning Approach for Colon Cancer Detection
Colon cancer is the second most common cause of cancer death in women and the third most common cause of cancer death in men. Therefore, early detection of this cancer can lead to lower infection and death rates.
Ahmed S. Sakr +5 more
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The realm of medical imaging is a critical frontier in precision diagnostics, where the clarity of the image is paramount. Despite advancements in imaging technology, noise remains a pervasive challenge that can obscure crucial details and impede ...
Shakhnoza Muksimova +3 more
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ObjectiveSaposhnikovia divaricata (Turcz.) Schischk is a kind of traditional Chinese medicine. Currently, the methods of identifying the origin and quality of Saposhnikovia divaricata (Turcz.) Schischk are mainly based on their physical or chemical ...
ZHAO Yu +4 more
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HRBUST-LLPED: A Benchmark Dataset for Wearable Low-Light Pedestrian Detection
Detecting pedestrians in low-light conditions is challenging, especially in the context of wearable platforms. Infrared cameras have been employed to enhance detection capabilities, whereas low-light cameras capture the more intricate features of ...
Tianlin Li +3 more
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Eye Semantic Segmentation with A Lightweight Model [PDF]
In this paper, we present a multi-class eye segmentation method that can run the hardware limitations for real-time inference. Our approach includes three major stages: get a grayscale image from the input, segment three distinct eye region with a deep network, and remove incorrect areas with heuristic filters.
Van Thong Huynh +3 more
openaire +2 more sources

