Brain tumor detection and classification using intelligence techniques: An overview
S Solanki, UP Singh, SS Chouhan, S Jain - IEEE Access, 2023 - ieeexplore.ieee.org
A tumor is carried on by rapid and uncontrolled cell growth in the brain. If it is not treated in
the initial phases, it could prove fatal. Despite numerous significant efforts and encouraging …
the initial phases, it could prove fatal. Despite numerous significant efforts and encouraging …
[HTML][HTML] Vision transformers in multi-modal brain tumor MRI segmentation: A review
Brain tumors have shown extreme mortality and increasing incidence during recent years,
which bring enormous challenges for the timely diagnosis and effective treatment of brain …
which bring enormous challenges for the timely diagnosis and effective treatment of brain …
Feature extraction using a residual deep convolutional neural network (ResNet-152) and optimized feature dimension reduction for MRI brain tumor classification
S Athisayamani, RS Antonyswamy, V Sarveshwaran… - Diagnostics, 2023 - mdpi.com
One of the top causes of mortality in people globally is a brain tumor. Today, biopsy is
regarded as the cornerstone of cancer diagnosis. However, it faces difficulties, including low …
regarded as the cornerstone of cancer diagnosis. However, it faces difficulties, including low …
A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images
I Pacal - International Journal of Machine Learning and …, 2024 - Springer
Serious consequences due to brain tumors necessitate a timely and accurate diagnosis.
However, obstacles such as suboptimal imaging quality, issues with data integrity, varying …
However, obstacles such as suboptimal imaging quality, issues with data integrity, varying …
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with
a low survival rate mostly due to the difficulties in early detection. Medical professionals …
a low survival rate mostly due to the difficulties in early detection. Medical professionals …
Deep learning based semantic segmentation approach for automatic detection of brain tumor
S Markkandeyan, S Gupta, GV Narayanan… - International Journal of …, 2023 - univagora.ro
Initially, fromBRATS 2013 dataset the input image is acquired and is preprocessed,
segmented using Convolutional neural network (CNN) based semantic segmentation, and …
segmented using Convolutional neural network (CNN) based semantic segmentation, and …
A review of mechanistic learning in mathematical oncology
Mechanistic learning refers to the synergistic combination of mechanistic mathematical
modeling and data-driven machine or deep learning. This emerging field finds increasing …
modeling and data-driven machine or deep learning. This emerging field finds increasing …
Avoiding shortcut-learning by mutual information minimization in deep learning-based image processing
Deep learning models are increasingly being used in detecting patterns and correlations in
medical imaging data such as magnetic resonance imaging. However, conventional …
medical imaging data such as magnetic resonance imaging. However, conventional …
[HTML][HTML] Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning
Purpose Artificial intelligence (AI)-automated tumor delineation for pediatric gliomas would
enable real-time volumetric evaluation to support diagnosis, treatment response …
enable real-time volumetric evaluation to support diagnosis, treatment response …
ESOA-HGRU: egret swarm optimization algorithm-based hybrid gated recurrent unit for classification of diabetic retinopathy
AM Alajlan, A Razaque - Artificial Intelligence Review, 2023 - Springer
Diabetes is a chronic disease that affects people all over the world and raises the glucose
level in the blood as a result of a lack of insulin. Diabetic Retinopathy causes retinal eye …
level in the blood as a result of a lack of insulin. Diabetic Retinopathy causes retinal eye …