Deep learning for medical image processing: Overview, challenges and the future
MI Razzak, S Naz, A Zaib - … in BioApps: Automation of decision making, 2018 - Springer
The health care sector is totally different from any other industry. It is a high priority sector
and consumers expect the highest level of care and services regardless of cost. The health …
and consumers expect the highest level of care and services regardless of cost. The health …
Automatic choroid layer segmentation from optical coherence tomography images using deep learning
The choroid layer is a vascular layer in human retina and its main function is to provide
oxygen and support to the retina. Various studies have shown that the thickness of the …
oxygen and support to the retina. Various studies have shown that the thickness of the …
Multi-path convolutional neural network in fundus segmentation of blood vessels
C Tian, T Fang, Y Fan, W Wu - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
There is a close correlation between retinal vascular status and physical diseases such as
eye lesions. Retinal fundus images are an important basis for diagnosing diseases such as …
eye lesions. Retinal fundus images are an important basis for diagnosing diseases such as …
Detection of choroidal neovascularization (CNV) in retina OCT images using VGG16 and DenseNet CNN
In this study, we intend to diagnose Choroidal Neovascularization in retinal Optical
Coherence Tomography (OCT) images using Deep Learning Architectures. OCT images …
Coherence Tomography (OCT) images using Deep Learning Architectures. OCT images …
An Outlook of Medical Image Analysis via Transfer Learning Approaches
MS Nagaraju, BS Rao - Traitement du Signal, 2022 - search.proquest.com
Artificial intelligence advancements, particularly deep learning algorithms, are helpful for
identifying, classifying, and rating designs in clinical images. Clinical diagnosis and scientific …
identifying, classifying, and rating designs in clinical images. Clinical diagnosis and scientific …
[PDF][PDF] Deep Learning based Segmentation of Retinal Blood Vessels from Enhanced Fundus Images
Accurate Extraction of blood vessels from medical images of eye-retina aids in automated
medical diagnosis of complicated retinal Fundus abnormalities. Many methodologies have …
medical diagnosis of complicated retinal Fundus abnormalities. Many methodologies have …
ENHANCED NOVEL EXUDATE METHOD OF INPAINTING FOR RETINAL VESSEL SEGMENTATION IN CELLULAR DOMAIN USING CELLULAR AUTOMATION.
N Singh - International Journal of Advanced Research in …, 2017 - search.ebscohost.com
Precise vessel detection within retinal images is a vital and tedious task. Diagnosis of retinal
images is actually more challenging in pathological images with all the latest presence of …
images is actually more challenging in pathological images with all the latest presence of …