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DenseNet201 Model for Robust Detection on Incorrect Use of Mask
Lecture Notes in Electrical Engineering, 2023Faisal Dharma Adhinata +2 more
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Skin Lesion Classification Using Pre-Trained DenseNet201 Deep Neural Network
2021 3rd International Conference on Signal Processing and Communication (ICPSC), 2021Skin cancer is the most common dangerous type of cancer now a days. Because of the heterogeneity in appearance of skin lesion the expert find difficulty to detect from dermoscopic images. We propose a deep neural network using DenseNet201 pretrained architecture that classifies the seven classes of dermoscopic images for early detection of skin cancer.
S.P. Godlin Jasil, V. Ulagamuthalvi
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Comparison of DenseNet201 and ResNet50 for lip reading of decimal Digits
Journal of Education for Pure Science- University of Thi-Qar, 2023Lip reading is a technology supportive of humanity. It a process that interprets the movement of the lipsto understand speech by means of visual interpretation. Where understanding speech is difficult for somegroups of people, especially the hearing impaired or people who are in noisy environments such as theairport or factories lip reading is the ...
Kwakib Saadun Naif1 +1 more
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Leukemia Detection Using Deep Learning: A DenseNet201-Based Approach
International Journal Of Recent Trends In Multidisciplinary ResearchLeukemia is one of the most prevalent forms of blood cancer, primarily affecting white blood cells and posing critical diagnostic challenges. Conventional diagnostic approaches rely on manual microscopic examination, which is subjective, labor-intensive, and prone to errors.
Mohammed Ahmed Ali, Dr. Mohd Rafi Ahmed
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DenseNet201 for Animal detection and repellent system
2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC), 2022Naveenkumar M +3 more
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Hand Gesture Recognition using DenseNet201-Mediapipe Hybrid Modelling
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), 2022Prachetas Padhi, Mousumi Das
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Flower Species Recognition using DenseNet201 and Multilayer Perceptron
2023 11th International Conference on Information and Communication Technology (ICoICT), 2023Jun Xian Shee +3 more
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The International Journal of Medical Robotics and Computer Assisted Surgery
ABSTRACTBackgroundThis study aims to accelerate revision surgery and treatment using X‐ray imaging and deep learning to identify shoulder implant manufacturers in advance.MethodsA feature engineering approach based on principal component analysis and a k‐means algorithm was used to cluster shoulder implant data.
Xianzhong Jian +2 more
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ABSTRACTBackgroundThis study aims to accelerate revision surgery and treatment using X‐ray imaging and deep learning to identify shoulder implant manufacturers in advance.MethodsA feature engineering approach based on principal component analysis and a k‐means algorithm was used to cluster shoulder implant data.
Xianzhong Jian +2 more
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Stratification of White Blood Cells Using Optimized DenseNet201 Model
2023Kanwarpartap Singh Gill +3 more
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