Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future …
As an emerging technology, blockchain (BC) has been playing a promising role in today's
software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because …
software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because …
Multi-class classification of brain tumor types from MR images using EfficientNets
Accurate classification of the type of brain tumor plays an important role in the early
diagnosis of the tumor which can be the difference between life and death. Magnetic …
diagnosis of the tumor which can be the difference between life and death. Magnetic …
[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …
approaches to solving various challenges, such as disease predictions, drug discovery …
Weighted average ensemble deep learning model for stratification of brain tumor in MRI images
Brain tumor diagnosis at an early stage can improve the chances of successful treatment
and better patient outcomes. In the biomedical industry, non-invasive diagnostic procedures …
and better patient outcomes. In the biomedical industry, non-invasive diagnostic procedures …
[HTML][HTML] MEEDNets: Medical image classification via ensemble bio-inspired evolutionary DenseNets
Inspired by the biological evolution, this paper proposes an evolutionary synthesis
mechanism to automatically evolve DenseNet towards high sparsity and efficiency for …
mechanism to automatically evolve DenseNet towards high sparsity and efficiency for …
RETRACTED ARTICLE: Analysis of MRI brain tumor images using deep learning techniques
A popular deep learning-based object detection technique is the'You Only Look Once'v3
(YOLOv3) method for brain tumor detection from tumor patients. The YOLOv3 model was …
(YOLOv3) method for brain tumor detection from tumor patients. The YOLOv3 model was …
[HTML][HTML] 4sqr-code: A 4-state qr code generation model for increasing data storing capacity in the digital twin framework
Abstract Introduction The usage of Quick Response (QR) Codes has become widely popular
in recent years, primarily for immense electronic transactions and industry uses. The …
in recent years, primarily for immense electronic transactions and industry uses. The …
Detection and classification of brain tumor using hybrid deep learning models
B Babu Vimala, S Srinivasan, SK Mathivanan… - Scientific Reports, 2023 - nature.com
Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving
lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for …
lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for …
[HTML][HTML] Enhanced TumorNet: Leveraging YOLOv8s and U-net for superior brain tumor detection and segmentation utilizing MRI scans
Brain tumors, characterized by abnormal cell growth, pose a significant challenge in clinical
imaging due to their complex and diverse structures. Early and accurate identification …
imaging due to their complex and diverse structures. Early and accurate identification …
Federated deep learning for monkeypox disease detection on gan-augmented dataset
After the coronavirus disease 2019 (COVID-19) outbreak, the viral infection known as
monkeypox gained significant attention, and the World Health Organization (WHO) classified …
monkeypox gained significant attention, and the World Health Organization (WHO) classified …