A survey on brain tumor detection using machine learning

RD Shirwaikar, K Ramesh… - … Conference on Forensics …, 2021 - ieeexplore.ieee.org
Early detection of a tumour when it is tiny, lowers the impact of surgery and therapy,
improving the prognosis for many patients. For the detection of tumors, MRI images at …

Brain tumors diagnosis and prediction based on applying the learning metaheuristic optimization techniques of particle swarm, ant colony and bee colony

RHM Aly, KH Rahouma, HFA Hamed - Procedia Computer Science, 2019 - Elsevier
Brain tumors are intensively studied and many techniques and algorithms have been
proposed to extract the features of the brain MRI images and diagnose the tumors. The …

Brain Tumor Classification Using Image Fusion and EFPA-SVM Classifier.

PP Rajeena, R Sivakumar - Intelligent Automation & Soft …, 2023 - search.ebscohost.com
An accurate and early diagnosis of brain tumors based on medical imaging modalities is of
great interest because brain tumors are a harmful threat to a person's health worldwide …

Accurate Classification of Cervical Cancer Based on Multi-layer Perceptron Hunger Games search Optimization technique

RHM Aly, AI Hussein… - 2024 21st Learning and …, 2024 - ieeexplore.ieee.org
Cancer is distinguished by the presence of abnormal cellular proliferation and growth, both
of which serve as signs and symptoms for this kind of illness. Computer vision, deep …

3D segmentation of brain tumour

RD Shirwaikar, K Ramesh, AM Faisal… - International …, 2024 - inderscienceonline.com
Brain replacement is a grouping of abnormal cells in the brain. Brain tumours may be
malignant or non-cancerous. Glioma, meningioma, and pituitary are common brain tumours …

[PDF][PDF] The difference between Machine learning and Deep Learning in Classification Process for Brain Cancer MRI Images Based on Evolutionary segmentation's …

KH Rahouma, RHM Aly… - … Computer Science Journal, 2019 - researchgate.net
The medical computer vision is considered one of the important studies. Many evolutionary
techniques and algorithms have been improved to extract the features of the brain MRI …