MRI-based brain tumor classification using ensemble of deep features and machine learning classifiers
Brain tumor classification plays an important role in clinical diagnosis and effective
treatment. In this work, we propose a method for brain tumor classification using an …
treatment. In this work, we propose a method for brain tumor classification using an …
Brain tumor classification using the modified ResNet50 model based on transfer learning
Brain tumour classification is essential for determining the type and grade and deciding on
therapy appropriately. Several diagnostic methods are used in the therapeutic therapy to …
therapy appropriately. Several diagnostic methods are used in the therapeutic therapy to …
A survey on machine learning based brain retrieval algorithms in medical image analysis
In recent times, researchers showed huge interest in machine learning approaches that
attempts to develop the information representations via computational modules. Past …
attempts to develop the information representations via computational modules. Past …
Combining deep and handcrafted image features for MRI brain scan classification
Progresses in the areas of artificial intelligence, machine learning, and medical imaging
technologies have allowed the development of the medical image processing field with …
technologies have allowed the development of the medical image processing field with …
[HTML][HTML] Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning
PH Akwensi, Z Kang, R Wang - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Urban scene-level 3D point cloud labeling is a very laborious and expensive task compared
to images. Conversely however, image processing techniques, deep learning or otherwise …
to images. Conversely however, image processing techniques, deep learning or otherwise …
An improved indexing technique for tribal art retrieval system
K Mane, U Shrawankar - 2023 IEEE International Students' …, 2023 - ieeexplore.ieee.org
Nowadays the handmade tribal art products attract the people due to their smooth finishing.
Currently many platforms are available for them but, they are fetching result with irrelevant …
Currently many platforms are available for them but, they are fetching result with irrelevant …
A privacy-preserving energy theft detection model for effective demand-response management in smart grids
The detection of energy thefts is vital for the safety of the whole smart grid system. However,
the detection alone is not enough since energy thefts can crucially affect the electricity …
the detection alone is not enough since energy thefts can crucially affect the electricity …
Deep Learning Based Intrusion Detection Systems Techniques in IoT-Survey
SK Patel, S Sadhwani, R Muthalagu… - 2023 International …, 2023 - ieeexplore.ieee.org
Industry 4.0 is changing the way we communicate and operate as a society, its bringing
changes in technologies, industries and a part of this industry Internet of Thing (IoT), they are …
changes in technologies, industries and a part of this industry Internet of Thing (IoT), they are …
Embedded object detection and position estimation for RoboCup Small Size League
RC FERNANDES - 2023 - bdtd.ibict.br
In the RoboCup Small Size League (SSL), there is the challenge of giving more autonomy to
the robots, so they can perform some tasks without receiving any external information. To …
the robots, so they can perform some tasks without receiving any external information. To …
Generative Adversarial Network (GAN) Based MRI Data Synthesis with Validation of Convolutional Networks, KNN
DAS Sunanda, R Guhathakurta, D Roy - ECS Transactions, 2022 - iopscience.iop.org
Magnetic Resonance Imaging (MRI) is a technology mainly used for disease prediction and
treatment. Practically, due to poor quality of MRI images, sometimes it is advised to repeat …
treatment. Practically, due to poor quality of MRI images, sometimes it is advised to repeat …