Deep learning and medical image processing techniques for diabetic retinopathy: a survey of applications, challenges, and future trends
P Uppamma, S Bhattacharya - Journal of Healthcare …, 2023 - Wiley Online Library
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the
world. It leads to the complete loss of vision based on the level of severity. It damages both …
world. It leads to the complete loss of vision based on the level of severity. It damages both …
UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation
A brain tumor is one of a deadly disease that needs high accuracy in its medical surgery.
Brain tumor detection can be done through magnetic resonance imaging (MRI). Image …
Brain tumor detection can be done through magnetic resonance imaging (MRI). Image …
[PDF][PDF] Brain tumor segmentation using modified U-Net
HM Ebied, S Amin, M Hassaan - Research Square, 2022 - scholar.archive.org
Purpose: Planning and evaluating the extent of the spread of brain tumors for the treatment
is the main challenge. Magnetic resonance imaging (MRI) has been shown as a great …
is the main challenge. Magnetic resonance imaging (MRI) has been shown as a great …
Mixture model for image segmentation using Gaussian, Student'st, and Laplacian distribution with spatial dependence
MRI grayscale image data pattern, in reality, is not always symmetrical. Sometimes, it has a
skewed pattern, leptokurtic, mesokurtic, platykurtic and even fat-tail in distribution. The …
skewed pattern, leptokurtic, mesokurtic, platykurtic and even fat-tail in distribution. The …
Brain Tumor Detection with Artificial Intelligence Method
S Pandav, SVB Lenina - … Intelligence: Select Proceedings of InCITe 2022, 2023 - Springer
Detection of brain tumor is very challenging task in today's medical world. Nowadays, many
doctors prefer ready-made methods to diagnose the tumor from given magnetic resonance …
doctors prefer ready-made methods to diagnose the tumor from given magnetic resonance …
A Bayesian neo-normal mixture model (nenomimo) for MRI-Based brain tumor segmentation
The detection of a brain tumor through magnetic resonance imaging (MRI) is still
challenging when the image is in low quality. Image segmentation could be done to provide …
challenging when the image is in low quality. Image segmentation could be done to provide …
Bayesian spatially constrained fernandez-steel skew normal mixture model for MRI-based brain tumor segmentation
AA Pravitasari, NI Nirmalasari, N Iriawan… - AIP Conference …, 2019 - pubs.aip.org
Brain scanning using Magnetic Resonance Imaging (MRI) can be used to detect the brain
tumor. MRI could detect the soft tissue abnormalities better than the other radiological …
tumor. MRI could detect the soft tissue abnormalities better than the other radiological …
MRI-based brain tumor segmentation using Gaussian mixture model with reversible jump Markov chain Monte Carlo algorithm
AA Pravitasari, YP Hermanto, N Iriawan… - AIP Conference …, 2019 - pubs.aip.org
A brain tumor is the 15th deadly disease in Indonesia according to the WHO in 2018. In
medical treatment, brain tumors can be detected through Magnetic Resonance Imaging …
medical treatment, brain tumors can be detected through Magnetic Resonance Imaging …
A System for Liver Tumor Detection
A Nair, AM Anter - … Conference, ICICCT 2023, New Delhi, India …, 2023 - books.google.com
Liver cancer is found to be sixth prevalent cancer globally and is one of the vital reasons of
death. The radiologist has to confirm the diagnosis and liver segmentation manually, which …
death. The radiologist has to confirm the diagnosis and liver segmentation manually, which …
A System for Liver Tumor Detection
A Thakare, S Pillai, R Nemane, N Shiturkar… - International Conference …, 2023 - Springer
Liver cancer is found to be sixth prevalent cancer globally and is one of the vital reasons of
death. The radiologist has to confirm the diagnosis and liver segmentation manually, which …
death. The radiologist has to confirm the diagnosis and liver segmentation manually, which …