Automatic Brain Tumor Detection and Classification Using UNET and Optimized Support Vector Machine

SR Borra, MK Priya, M Taruni, KS Rao, MS Reddy - SN Computer Science, 2024 - Springer
Brain tumors, characterized by the growth of aberrant and unregulated cells within the skull,
pose a significant threat to normal brain function and, if malignant, can present life …

A Systematic Review of Brain MRI Segmentation and Uncertainty Modeling Using Evidence Theory with Implementation of Fuzzy Clustering and Fuzzy Inference …

FB Sedeeq, HK Aljobouri… - Revue d'Intelligence …, 2023 - search.ebscohost.com
Image segmentation, the process of partitioning an image into its constituent parts, is a
pivotal step in image processing, particularly with respect to brain MRI images. This …

Machine Learning Algorithm for Maternal Health Risk Classification with SMOTE and Explainable AI

BU Maheswari, A Dixit, AK Karn - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
Targeted obstetric care refers to being specific with the caretaking of a pregnant woman
based on her symptoms and risk levels. It is a crucial task because pregnancy-related …

Detection of Brain Tumor from MRI Images Using VGG-16 CNN Model with Transfer Learning

BPS Rathore, R Dave, K Dhanasekaran… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Brain tumors are a serious health concern caused by the abnormal growth of cells in or
around the brain. These tumors can either be benign or malignant. Few of the causes for …

Artificial Intelligence Assisted Improved Design to Predict Brain Tumor on Earlier Stages using Deep Learning Principle

K Priyadharshini, P Krishnamoorthy… - 2023 Annual …, 2023 - ieeexplore.ieee.org
Brain-Tumors are the second most common reason of cancer today. Numerous people are
at risk from cancer. The medical community requires a rapid, automated, efficient, and …

[PDF][PDF] BRAIN TUMOR DETECTION USING LSTM AND ADABOOST

PV VAMSI, NVG REDDY, PJAIP REDDY - 2024 - easychair.org
Brain tumors represent a significant health concern globally, with various subtypes
presenting unique challenges for diagnosis and treatment. Accurate and timely identification …