Brain tumor detection and classification using machine learning: a comprehensive survey
J Amin, M Sharif, A Haldorai, M Yasmin… - Complex & intelligent …, 2022 - Springer
Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Brain tumor is one of the most dreadful natures of cancer and caused a huge number of
deaths among kids and adults from the past few years. According to WHO standard, the …
deaths among kids and adults from the past few years. According to WHO standard, the …
Deep CNN for brain tumor classification
Brain tumor represents one of the most fatal cancers around the world. It is common cancer
in adults and children. It has the lowest survival rate and various types depending on their …
in adults and children. It has the lowest survival rate and various types depending on their …
Cnn based multiclass brain tumor detection using medical imaging
Brain tumors are the 10th leading reason for the death which is common among the adults
and children. On the basis of texture, region, and shape there exists various types of tumor …
and children. On the basis of texture, region, and shape there exists various types of tumor …
Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images
In this paper, a new deep learning method for tumor classification in MR images is
presented. A deep neural network is first pre-trained as a discriminator in a generative …
presented. A deep neural network is first pre-trained as a discriminator in a generative …
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Image processing plays a major role in neurologists' clinical diagnosis in the medical field.
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction
Cancer is one of the leading causes of deaths in the last two decades. It is either diagnosed
malignant or benign–depending upon the severity of the infection and the current stage. The …
malignant or benign–depending upon the severity of the infection and the current stage. The …
A comprehensive survey on brain tumor diagnosis using deep learning and emerging hybrid techniques with multi-modal MR image
The brain tumor is considered the deadly disease of the century. At present, neuroscience
and artificial intelligence conspire in the timely delineation, detection, and classification of …
and artificial intelligence conspire in the timely delineation, detection, and classification of …
Mesenchymal stem cell-derived exosomes as a new therapeutic strategy in the brain tumors
E Ghasempour, S Hesami, E Movahed… - Stem Cell Research & …, 2022 - Springer
Brain tumors are one of the most mortal cancers, leading to many deaths among kids and
adults. Surgery, chemotherapy, and radiotherapy are available options for brain tumor …
adults. Surgery, chemotherapy, and radiotherapy are available options for brain tumor …