Results 11 to 20 of about 14,783 (197)
Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification
Acta Informatica Pragensia, 2023 Skin cancer is undoubtedly one of the deadliest diseases, and early detection of this disease can save lives. The usefulness and capabilities of deep learning in detecting and categorizing skin cancer based on images have been investigated in many ...
Jamal Mustafa Al-Tuwaijari +3 more
doaj +1 more source
Convolutional neural network-based skin cancer classification with transfer learning models
Радіоелектронні і комп'ютерні системи, 2023 Skin cancer is a medical condition characterized by abnormal growth of skin cells. This occurs when the DNA within these skin cells becomes damaged. In addition, it is a prevalent form of cancer that can result in fatalities if not identified in its ...
Mariame Oumoulylte +4 more
doaj +1 more source
International Journal of Electronics and Communications System, 2022 The exponential growth of deep learning networks has enabled us to handle difficult tasks, even in the complex field of medicine with small datasets. In the sphere of treatment, they are particularly significant.
Peshraw Ahmed Abdalla +5 more
doaj +1 more source
Efficient Pomegranate Segmentation with UNet: A Comparative Analysis of Backbone Architectures and Knowledge Distillation [PDF]
ITM Web of Conferences, 2023 This work examines the segmentation of on-field images of pomegranate fruit using UNet model with different backbones. Precise and effective segmentation of pomegranate fruits on the field is essential for automating yield estimation, disease detection ...
Mane Shubham +2 more
doaj +1 more source
Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images
IJAIN (International Journal of Advances in Intelligent Informatics), 2023 Abnormal brain tissue or cell growth is known as a brain tumor. One of the body's most intricate organs is the brain, where billions of cells work together. As a head tumor grows, the brain suffers damage due to its increasingly dense core.
Abu Kowshir Bitto +5 more
doaj +1 more source
Detecting Video Surveillance Using VGG19 Convolutional Neural Networks [PDF]
International Journal of Advanced Computer Science and Applications, 2020 The meteoric growth of data over the internet from the last few years has created a challenge of mining and extracting useful patterns from a large dataset. In recent years, the growth of digital libraries and video databases makes it more challenging and important to extract useful information from raw data to prevent and detect the crimes from the ...
Umair Muneer Butt +4 more
openaire +1 more source
Biomedicines, 2021 Differentiated thyroid cancer (DTC) from follicular epithelial cells is the most common form of thyroid cancer. Beyond the common papillary thyroid carcinoma (PTC), there are a number of rare but difficult-to-diagnose pathological classifications, such ...
Wai-Kin Chan +7 more
doaj +1 more source
IEEE Access, 2023 Skin cancer, particularly the malignant melanoma subtype, is widely recognized as a highly lethal form of cancer characterized by abnormal melanocyte cell growth.
Mudassir Saeed +4 more
doaj +1 more source
, 2020 Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation systems. However, most of them require expensive and/or heavy hardware.
Breve, Fabricio +1 more
core +1 more source
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps [PDF]
, 2017 Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks.
Aimar, Alessandro +10 more
core +3 more sources