Automated Bi-Fold Weighted Ensemble Algorithms and its Application to Brain Tumor Detection and Classification

arXiv:2404.00576v1 Announce Type: new
Abstract: The uncontrolled and unstructured growth of brain cells is known as brain tumor, which has one of the highest mortality rates among diseases from all types of cancers. Due to limited diagnostic and treatment capabilities, they pose significant challenges, especially in third-world countries. Early diagnosis plays a vital role in effectively managing brain tumors and reducing mortality rates. However, the availability of diagnostic methods is hindered by various limitations, including high costs and lengthy result …

abstract algorithms application arxiv automated brain brain cells capabilities cells challenges classification cs.ai cs.cv cs.lg detection diagnostic diseases ensemble growth mortality treatment type types unstructured