A comprehensive review on machine learning in brain tumor classification: taxonomy, challenges, and future trends
Abstract In recent years, Machine Learning (ML), a key component of artificial intelligence
(AI), has become increasingly popular in data analysis and processing. ML is now widely …
(AI), has become increasingly popular in data analysis and processing. ML is now widely …
[HTML][HTML] Machine learning techniques used for the histopathological image analysis of oral cancer-a review
S Panigrahi, T Swarnkar - The Open …, 2020 - openbioinformaticsjournal.com
Oral diseases are the 6th most revealed malignancy happening in head and neck regions
found mainly in south Asian countries. It is the most common cancer with fourteen deaths in …
found mainly in south Asian countries. It is the most common cancer with fourteen deaths in …
A deep neural network for the classification of epileptic seizures using hierarchical attention mechanism
SKR Chirasani, S Manikandan - Soft Computing, 2022 - pmc.ncbi.nlm.nih.gov
Electroencephalogram (EEG) is a common diagnostic tool for measuring the seizure activity
of the brain. There are many deep learning techniques introduced to analyze EEG. These …
of the brain. There are many deep learning techniques introduced to analyze EEG. These …
Automatic disease stage classification of glioblastoma multiforme histopathological images using deep convolutional neural network
A Yonekura, H Kawanaka, VBS Prasath… - Biomedical engineering …, 2018 - Springer
In the field of computational histopathology, computer-assisted diagnosis systems are
important in obtaining patient-specific diagnosis for various diseases and help precision …
important in obtaining patient-specific diagnosis for various diseases and help precision …
Patoloji görüntülerinin derin öğrenme yöntemleri ile sınıflandırılması
M Karakurt, İ İşeri - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Meme kanseri, kadınlar arasında en çok görülen kanser türüdür. Kanserin erken tespit
edilmesi, tedavinin zamanında yapılmasını sağlamaktadır. Medikal görüntüler, canlıların …
edilmesi, tedavinin zamanında yapılmasını sağlamaktadır. Medikal görüntüler, canlıların …
Improving the generalization of disease stage classification with deep CNN for glioma histopathological images
A Yonekura, H Kawanaka, VBS Prasath… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
In the field of histopathology, computer-assisted diagnosis systems are important in
obtaining patient-specific diagnosis for various diseases and help define precision …
obtaining patient-specific diagnosis for various diseases and help define precision …
Deep Learning Based Automated tool for cancer diagnosis from bone histopathology images
BS Vandana, SR Alva - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Histopathology procedure is conventional in nature. Moreover, manual procedure of
Pathologists can handle only limited cases due to prolonged steps. This manual procedure …
Pathologists can handle only limited cases due to prolonged steps. This manual procedure …
[PDF][PDF] Predicting IDH1 mutation and 1P19Q CO-deletion status for brain tumor
S Singh, M Bhavsar, R Mahadeshwar… - Int. J. Adv. Sci …, 2020 - researchgate.net
The recent increase of machine learning and its applications in many fields like image
classification, text classification and many new applications like text and image generation …
classification, text classification and many new applications like text and image generation …
Development of a web based image annotation tool for lung immunofluorescent confocal images
S ISAKA, H KAWANAKA, S VB… - … on Affective Science …, 2018 - jstage.jst.go.jp
A molecular atlas of the human lung is important to inform basic mechanisms and treatments
for lung diseases, and imaging data provide us the foundation upon which to build the lung …
for lung diseases, and imaging data provide us the foundation upon which to build the lung …
[HTML][HTML] Deep learning based computer-aided diagnosis for neuroimaging data: focused review and future potential
VBS Prasath - Neuroimmunology and Neuroinflammation, 2018 - oaepublish.com
Automatic image analysis techniques applied to neuroimaging data in general, and
magnetic resonance imaging (MRI), and functional MRI (fMRI) in particular, have proven to …
magnetic resonance imaging (MRI), and functional MRI (fMRI) in particular, have proven to …