Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm
Life, 2022 Due to various reasons, the incidence rate of communicable diseases in humans is steadily rising, and timely detection and handling will reduce the disease distribution speed. Tuberculosis (TB) is a severe communicable illness caused by the bacterium Mycobacterium-Tuberculosis (M.
Seifedine Kadry +2 more
exaly +6 more sources
Engineering Vibration Recognition Using CWT-VGG19
Shock and VibrationMultisource signal recognition is a common problem in engineering vibration control. Given that traditional methods often primarily rely on prior knowledge and expertise, which can limit efficiency and accuracy, this study proposed a vibration ...
Wei Huang, Jian Xu
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Improving acute lymphoblastic leukemia diagnosis through CBAM-enhanced VGG19 deep learning [PDF]
Scientific ReportsAcute Lymphoblastic Leukemia (ALL) is an aggressive blood cancer that requires rapid and accurate diagnosis. Manual review of blood and bone marrow smears is time-consuming and observer-dependent, underscoring the need for automated methods.
Syed Ijaz Ur Rahman +7 more
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Transformer-aided skin cancer classification using VGG19-based feature encoding. [PDF]
Sci RepAbstract Skin cancer is one of the most common and deadliest forms of cancer in the world, as early detection is a primary means to improve the treatment options. Deep learning has demonstrated potential in the automation of skin lesion classification, but traditional Convolutional Neural Networks fail to capture data scarcity, orientation ...
Najjar FH +5 more
europepmc +2 more sources
WD-1D-VGG19-FEA: An Efficient Wood Defect Elastic Modulus Predictive Model
SensorsAs a mature non-destructive testing technology, near-infrared (NIR) spectroscopy can effectively identify and distinguish the structural characteristics of wood.
Zhanyuan Chang
exaly +3 more sources
Copy Move and Splicing Image Forgery Detection using CNN [PDF]
ITM Web of Conferences, 2022 The boom of digital images coupled with the development of approachable image manipulation software has made image tampering easier than ever. As a result, there is massive increase in number of forged or falsified images that represent incorrect or ...
Mallick Devjani +3 more
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Cervix Image Classification for Prognosis of Cervical Cancer using Deep Neural Network with Transfer Learning [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2021 INTRODUCTION: Cervical cancer is the leading cancer among the other female cancers. It develops in the cervix of women. It takes decades in development thus can be preventable if diagnosed at an early stage. The cervix is classified into three types Type
Sanjeev Dhawan +2 more
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DCNN models with post-hoc interpretability for the automated detection of glossitis and OSCC on the tongue [PDF]
Scientific ReportsThis study aimed to develop and evaluate deep convolutional neural network (DCNN) models with Grad-CAM visualization for the automated classification with interpretability of tongue conditions—specifically glossitis and oral squamous cell carcinoma (OSCC)
Yeon-Hee Lee +6 more
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Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [PDF]
Journal of Soft Computing in Civil Engineering, 2020 Detection and prediction of cracks play a vital role in the maintenance of concrete structures. The manual instructions result in having images captured from different sources wherein the acquisition of such images into the network may cause an error ...
Karunanithi Sathya +4 more
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Detection of Pneumonia with a Novel CNN-based Approach
Sakarya University Journal of Computer and Information Sciences, 2021 Pneumonia is a seasonal infectious lung tissue inflammatory disease. According to the World Health Organization (WHO), early diagnosis of the disease reduces the risk of its transmission and death.
Ebru Erdem, Tolga Aydin
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