[HTML][HTML] Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation
Accurate brain tumor segmentation is critical for diagnosis and treatment planning, whereby
multi-modal magnetic resonance imaging (MRI) is typically used for analysis. However …
multi-modal magnetic resonance imaging (MRI) is typically used for analysis. However …
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Simple Summary Within the rapidly evolving landscape of Machine Learning in the medical
field, this paper focuses on the forefront advancements in neuro-oncological radiology. More …
field, this paper focuses on the forefront advancements in neuro-oncological radiology. More …
A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations)
Y Zakeri, B Karasfi, A Jalalian - Journal of Medical and Biological …, 2024 - Springer
Purpose A brain tumor is defined as any group of atypical cells occupying space in the brain.
There are more than 120 types of them. MRI scans are used for brain tumor diagnosis since …
There are more than 120 types of them. MRI scans are used for brain tumor diagnosis since …
[HTML][HTML] Novel method for measuring a wear scar using deep learning
This research presents a new method for estimating the wear scar in ball-on-disk
experiments using deep learning. The wear scar on the ball in this context has traditionally …
experiments using deep learning. The wear scar on the ball in this context has traditionally …
[HTML][HTML] Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network
F Asadi, T Angsuwatanakul, JA O'Reilly - IBRO Neuroscience Reports, 2024 - Elsevier
Gliomas observed in medical images require expert neuro-radiologist evaluation for
treatment planning and monitoring, motivating development of intelligent systems capable of …
treatment planning and monitoring, motivating development of intelligent systems capable of …
Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning
K Mowlani, M Jafari Shahbazzadeh… - Journal of Cancer …, 2023 - Springer
Purpose Brain tumors are among the most lethal forms of cancer, so early diagnosis is
crucial. As a result of machine learning algorithms, radiologists can now make accurate …
crucial. As a result of machine learning algorithms, radiologists can now make accurate …
[PDF][PDF] EMU-Net: Automatic Brain Tumor Segmentation and Classification Using Efficient Modified U-Net.
M Aly, AS Alotaibi - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Tumor segmentation is a valuable tool for gaining insights into tumors and improving
treatment outcomes. Manual segmentation is crucial but time-consuming. Deep learning …
treatment outcomes. Manual segmentation is crucial but time-consuming. Deep learning …
Deep transfer learning models for brain tumor classification using magnetic resonance images
A Pandey, VK Pandey - 2023 IEEE 12th International …, 2023 - ieeexplore.ieee.org
The development of brain tumor cells causes the intracranial pressure inside the skull to
rise, which ultimately threatens the minuscular life cycle. So, medication is the only way to …
rise, which ultimately threatens the minuscular life cycle. So, medication is the only way to …
A new clinical diagnosis system for detecting brain tumor using integrated ResNet_Stacking with XGBoost
V Pandiyaraju, S Ganapathy, AMS Kumar… - … Signal Processing and …, 2024 - Elsevier
The cancer disease prediction and detection processes are crucial tasks in this emerging
world and it is tough to manage the diseases. Generally, the disease prediction processes …
world and it is tough to manage the diseases. Generally, the disease prediction processes …
Segmentation and classification of brain tumour using LRIFCM and LSTM
KS Neetha, DL Narayan - Multimedia Tools and Applications, 2024 - Springer
Brain tumour is an abnormal growth of cells in the brain, and is a harmful and life-
threatening disease worldwide. The rapid development of tumour cells increases the illness …
threatening disease worldwide. The rapid development of tumour cells increases the illness …