| Autor: |
G S Mamatha, D. Priya |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Innovative Data Communication Technologies and Application ISBN: 9789811596506 |
| DOI: |
10.1007/978-981-15-9651-3_17 |
| Popis: |
Keratoconus detection and diagnosis has become a crucial step of primary importance in the preoperative evaluation for the refractive surgery. With the ophthalmology knowledge improvement and technological advancement in detection and diagnosis, artificial intelligence (AI) technologies like machine learning (ML) and deep learning (DL) play an important role. Keratoconus being a progressive disease leads to visual acuity and visual quality. The real challenge lies in acquiring unbiased dataset to predict and train the deep learning models. Deep learning plays a very crucial role in upturning ophthalmology division. Detecting early stage keratoconus is a real challenge. Hence, our work aims to primarily focus on detecting an early stage and multiple classes of keratoconus disease using deep learning models. This review paper highlights the comprehensive elucidation of machine learning and deep learning models used in keratoconus detection. The research gaps are also identified from which to obtain the need of the hour for detecting keratoconus in humans even before the symptoms are visible. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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