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Eye Disease Identification Using Transfer Learning Techniques

Eye Disease Identification Using Transfer Learning Techniques

Eye Disease Identification Using Transfer Learning Techniques
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Eye Disease Identification Using Transfer Learning Techniques Paperback - 2022

by Puneet P

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Used - Very good

Description

Tehseen Ahmed, 12/20/2022 12:00:00. paperback. Very Good. 0.3150 in x 8.9370 in x 5.9055 in.
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Ships from PlumCircle Books (Pennsylvania, United States)

Details

  • Title Eye Disease Identification Using Transfer Learning Techniques
  • Author Puneet P
  • Binding Paperback
  • Condition Used - Very good
  • Pages 108
  • Volumes 1
  • Language ENG
  • Publisher Tehseen Ahmed
  • Publication date 12/20/2022 12:00:00
  • Bookseller's Inventory # mon0001305811
  • ISBN 9782398492056 / 2398492052
  • Weight 0.35 lbs (0.16 kg)
  • Dimensions 9 x 6 x 0.22 in (22.86 x 15.24 x 0.56 cm)
  • Size 0.3150 in x 8.9370 in x 5.9055 i
  • Category Medical / Nursing
  • Quantity available 1
  • Bookseller catalogues Book

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Reader reviews for Eye Disease Identification Using Transfer Learning Techniques

From the publisher

Over the past few decades, health care industries and medical practitioners faced a lot

of obstacles to diagnosing medical-related problems due to inadequate technology and

availability of equipment. In the present era, computer science technologies such as IoT,

Cloud Computing, Artificial Intelligence (AI) and its allied techniques, etc. are using

rapidly for medical disease diagnosis, identifications and further treatments, especially

in Ophthalmology domain.

In Ophthalmology, visual impairment is increasing manifolds and is likely to

reach an epidemic rise globally in the next few decades. Some of the hazardous diseases

which are the main reason for visual impairment and sight loss in human beings are DR,

AMD, DME, CNV, GL, Cataract, Myopia, Astigmatism and many more to name.

Amongst them, some diseases such as CNV, DME, etc. are the severe form of AMD

and DR which are life-threatening ones. These diseases are growing exponentially and

majorly impact the elderly group and working professionals.

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