Inception modules enhance brain tumor segmentation
DE Cahall, G Rasool, NC Bouaynaya… - Frontiers in …, 2019 - frontiersin.org
Magnetic resonance images of brain tumors are routinely used in neuro-oncology clinics for
diagnosis, treatment planning, and post-treatment tumor surveillance. Currently, physicians …
diagnosis, treatment planning, and post-treatment tumor surveillance. Currently, physicians …
Brain tumor segmentation and surveillance with deep artificial neural networks
Brain tumor segmentation refers to the process of pixel-level delineation of brain tumor
structures in medical images, such as Magnetic Resonance Imaging (MRI). Brain tumor …
structures in medical images, such as Magnetic Resonance Imaging (MRI). Brain tumor …
A contrast enhancement model for x-ray mammograms using modified local s-curve transformation based on multi-objective optimization
H El Malali, A Assir, V Bhateja, A Mouhsen… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The biased X-ray field and the subtle difference in X-ray attenuation between normal and
abnormal breast tissues prevent the biomedical sensors to generate mammograms with …
abnormal breast tissues prevent the biomedical sensors to generate mammograms with …
Mvpo predictor: Deep learning-based tumor classification and survival prediction of brain tumor patients with mri using multi-verse political optimizer
Brain tumor is a severe nervous disorder that causes damage to health and often leads to
death. Therefore, it is significant to classify the brain tumor at an early stage as it increases …
death. Therefore, it is significant to classify the brain tumor at an early stage as it increases …
Performance analysis of convolutional neural networks for exudate detection in fundus images
In the diagnosis of diabetic retinopathy and macula edema, the extraction of exudates is a
crucial task, particularly in the presence of optic disc and cotton wools which have similar …
crucial task, particularly in the presence of optic disc and cotton wools which have similar …