Machine learning applications based on SVM classification a review
DM Abdullah, AM Abdulazeez - Qubahan Academic Journal, 2021 - journal.qubahan.com
Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …
reliable processing of massive data sets. Machine Learning techniques are used …
Machine learning for cataract classification/grading on ophthalmic imaging modalities: a survey
Cataracts are the leading cause of visual impairment and blindness globally. Over the years,
researchers have achieved significant progress in developing state-of-the-art machine …
researchers have achieved significant progress in developing state-of-the-art machine …
Computer-aided diagnosis of cataract using deep transfer learning
Cataract is a leading eye disease across the world. If cataract is not diagnosed in earlier
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …
Automatic cataract grading methods based on deep learning
Background and objective The shortage of ophthalmologists in rural areas in China causes
a lot of cataract patients not getting timely diagnosis and effective treatment. We develop an …
a lot of cataract patients not getting timely diagnosis and effective treatment. We develop an …
[Retracted] Cataract Disease Detection by Using Transfer Learning‐Based Intelligent Methods
One of the most common visual disorders is cataracts, which people suffer from as they get
older. The creation of a cloud on the lens of our eyes is known as a cataract. Blurred vision …
older. The creation of a cloud on the lens of our eyes is known as a cataract. Blurred vision …
Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network
Cataract is the most prevailing reason for blindness across the globe, which occupies about
4.2% population of the world. Even with the developments in visual sciences, fundus image …
4.2% population of the world. Even with the developments in visual sciences, fundus image …
Automatic detection of eye cataract using deep convolution neural networks (DCNNs)
Eye cataract is a condition in which the lens of the eye becomes clouding or less
transparent. This affects the clear vision and is the most prevailing causes of blindness …
transparent. This affects the clear vision and is the most prevailing causes of blindness …
Cataract detection and grading based on combination of deep convolutional neural network and random forests
J Ran, K Niu, Z He, H Zhang… - … conference on network …, 2018 - ieeexplore.ieee.org
Cataract is one of the most common eye diseases which leads to visual impairment and is
the main cause of blindness. Early intervention and timely treatment can largely avoid …
the main cause of blindness. Early intervention and timely treatment can largely avoid …
Smart cataract detection system with bidirectional LSTM.
Traditional IT with advent of convolution neural networks and deep learning can lead a
trendsetter for healthcare sector, diseases identification and prediction. An essential …
trendsetter for healthcare sector, diseases identification and prediction. An essential …
Computer‐aided diagnosis of cataract severity using retinal fundus images and deep learning
JKPS Yadav, S Yadav - Computational Intelligence, 2022 - Wiley Online Library
Cataracts are lenticular opacities that can appear in different parts of the lens in the eye and
are a leading cause of blindness globally. Accurate detection and early‐stage diagnosis can …
are a leading cause of blindness globally. Accurate detection and early‐stage diagnosis can …