Detection of microscopic glaucoma through fundus images using deep transfer learning approach
Glaucoma disease in humans can lead to blindness if it progresses to the point where it
affects the oculus' optic nerve head. It is not easily detected since there are no symptoms …
affects the oculus' optic nerve head. It is not easily detected since there are no symptoms …
Deep learning approach to diagnose Alzheimer's disease through magnetic resonance images
MF Ahmad, S Akbar, SAE Hassan… - 2021 International …, 2021 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the disease that is neurodegenerative which causes 70 to 80%
of cases of dementia worldwide. Even though over the past few years' research on …
of cases of dementia worldwide. Even though over the past few years' research on …
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images
Brain tumor is the 10th major cause of death among humans. The detection of brain tumor is
a significant process in the medical field. Therefore, the objective of this research work is to …
a significant process in the medical field. Therefore, the objective of this research work is to …
Diagnosis of leukemia disease through deep learning using microscopic images
The abnormal production of WBC (white blood cell) in the bone marrow is known as
leukemia. Leukemia is one of the most affecting diseases around the globe. Several types of …
leukemia. Leukemia is one of the most affecting diseases around the globe. Several types of …
A deep learning-based automatic method for early detection of the glaucoma using fundus images
A Shoukat, S Akbar, K Safdar - 2021 International conference …, 2021 - ieeexplore.ieee.org
Glaucoma is a retinal abnormality that affects the ONH (optic nerve head) and results in loss
of vision if it is diagnosed at an advanced stage. It does not show the symptoms at the initial …
of vision if it is diagnosed at an advanced stage. It does not show the symptoms at the initial …
A deep transfer learning approach for automated detection of brain tumor through magnetic resonance imaging
Nowadays, brain tumor is a fatal disease among humans. Early brain tumor detection is a
significant challenge in the medical field to save a patient's life. This paper aims to present a …
significant challenge in the medical field to save a patient's life. This paper aims to present a …
Detection of liver cancer through computed tomography images using deep convolutional neural networks
Liver cancer is the fifth most common type of tumor in men and the ninth most common type
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …
A majority voting based ensemble approach of deep learning classifiers for automated melanoma detection
K Safdar, S Akbar, A Shoukat - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Melanoma is one of the most threatening types of skin cancer with a large-scale mortality
rate. The early-stage diagnosis of melanoma can help prevent its proliferation to other body …
rate. The early-stage diagnosis of melanoma can help prevent its proliferation to other body …
Leukemia Detection Using Machine and Deep Learning Through Microscopic Images—A Review
Leukemia is a blood malignancy that occurs due to neoplastic proliferation of bone marrow
precursor cells resulting in impaired immunity, bleeding tendencies, and ineffective …
precursor cells resulting in impaired immunity, bleeding tendencies, and ineffective …
Automatic Detection of Liver Cancer Using Artificial Intelligence and Imaging Techniques—A Review
Millions of death cases have been occurring from liver cancer or hepatic cancer worldwide.
This disease is most commonly caused by scarring or cirrhosis of the liver tissue. Therefore …
This disease is most commonly caused by scarring or cirrhosis of the liver tissue. Therefore …