[HTML][HTML] Brain tumor detection and classification using fine-tuned CNN with ResNet50 and U-Net model: A study on TCGA-LGG and TCIA dataset for MRI applications
Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain
cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells …
cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells …
[HTML][HTML] Brain tumor classification from MRI using image enhancement and convolutional neural network techniques
The independent detection and classification of brain malignancies using magnetic
resonance imaging (MRI) can present challenges and the potential for error due to the …
resonance imaging (MRI) can present challenges and the potential for error due to the …
[HTML][HTML] Exploring the power of deep learning: fine-tuned vision transformer for accurate and efficient brain tumor detection in MRI scans
A brain tumor is a significant health concern that directly or indirectly affects thousands of
people worldwide. The early and accurate detection of brain tumors is vital to the successful …
people worldwide. The early and accurate detection of brain tumors is vital to the successful …
[HTML][HTML] Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models
This paper presents a comprehensive study on the classification of brain tumor images
using five pre-trained vision transformer (ViT) models, namely R50-ViT-l16, ViT-l16, ViT-l32 …
using five pre-trained vision transformer (ViT) models, namely R50-ViT-l16, ViT-l16, ViT-l32 …
[PDF][PDF] 3D model construction and ecological environment investigation on a regional scale using UAV remote sensing
C Chen, Y Chen, H Jin, L Chen, Z Liu… - Intell. Autom. Soft …, 2023 - cdn.techscience.cn
The acquisition of digital regional-scale information and ecological environmental data has
high requirements for structural texture, spatial resolution, and multiple parameter …
high requirements for structural texture, spatial resolution, and multiple parameter …
[HTML][HTML] Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization
A brain tumour is a malignant condition that spreads extremely quickly and requires rapid
detection. In recent years, it has become apparent that deep learning is a promising …
detection. In recent years, it has become apparent that deep learning is a promising …
[PDF][PDF] Classification of Brain Tumors Using Hybrid Feature Extraction Based on Modified Deep Learning Techniques.
T Shawly, A Alsheikhy - Computers, Materials & Continua, 2023 - cdn.techscience.cn
ABSTRACT According to the World Health Organization (WHO), Brain Tumors (BrT) have a
high rate of mortality across the world. The mortality rate, however, decreases with early …
high rate of mortality across the world. The mortality rate, however, decreases with early …
[HTML][HTML] FPNC Net: A hydrogenation catalyst image recognition algorithm based on deep learning
S Hou, P Zhao, P Cui, H Xu, J Zhang, J Liu, M An, X Lin - Plos one, 2024 - journals.plos.org
The identification research of hydrogenation catalyst information has always been one of the
most important businesses in the chemical industry. In order to aid researchers in efficiently …
most important businesses in the chemical industry. In order to aid researchers in efficiently …
A fine-tuned transformer model for brain tumor detection and classification
The identification and classification of brain tumors from medical images is a challenging
task, which plays a crucial role in treatment planning. In recent times, the transformer models …
task, which plays a crucial role in treatment planning. In recent times, the transformer models …
[HTML][HTML] Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks
Brain tumor has become one of the fatal causes of death worldwide in recent years, affecting
many individuals annually and resulting in loss of lives. Brain tumors are characterized by …
many individuals annually and resulting in loss of lives. Brain tumors are characterized by …