Automated cataract disease detection on anterior segment eye images using adaptive thresholding and fine tuned inception-v3 model

S Faizal, CA Rajput, R Tripathi, B Verma… - … Signal Processing and …, 2023 - Elsevier
Early detection of cataracts plays a vital role in ensuring the prevention of vision loss. This
paper aims to propose an algorithm that will act as an assistive measure in the process of …

A robust automated cataract detection algorithm using diagnostic opinion based parameter thresholding for telemedicine application

S Pathak, B Kumar - Electronics, 2016 - mdpi.com
This paper proposes and evaluates an algorithm to automatically detect the cataracts from
color images in adult human subjects. Currently, methods available for cataract detection …

Nuclear cataract database for biomedical and machine learning applications

I Cruz-Vega, HI Morales-Lopez… - IEEE …, 2023 - ieeexplore.ieee.org
A cataract is a medical condition causing an opacity in the ocular nucleus due to various
factors such as age and diseases. Starting from traditional image processing techniques for …

Automated detection of eye related diseases using digital image processing

S Kumar, S Pathak, B Kumar - Handbook of multimedia information …, 2019 - Springer
This chapter presents techniques for automated detection of various eye diseases using
digital image processing. Human eyes suffer from variety of abnormalities due to aging …

Development of portable and robust cataract detection and grading system by analyzing multiple texture features for Tele-Ophthalmology

S Pathak, R Raj, K Singh, PK Verma… - Multimedia Tools and …, 2022 - Springer
This paper presents a low cost, robust, portable and automated cataract detection system
which can detect the presence of cataract from the colored digital eye images and grade …

An efficient fuzzy based edge estimation for iris localization and pupil detection in human eye for automated cataract detection system

A Dixit, S Pathak, R Raj, CH Naveen… - 2018 9th International …, 2018 - ieeexplore.ieee.org
Presently Digital Image Processing based automated diagnosis of medical images is very
popular area of research. This technique cuts short the diagnosis time and produces results …

Cataract detection and classification systems using computational intelligence: A survey

H Morales-Lopez, I Cruz-Vega… - … Methods in Engineering, 2021 - Springer
One of the most powerful tools in image processing solving complex problems is
computational intelligence. There are several image classification methods but is uncertain …

[PDF][PDF] Computer Aided Diagnosis for Screening the Shape and Size of Leukocyte Cell Nucleus based on Morphological Image.

R Supriyanti, A Chrisanty, Y Ramadhani… - International Journal of …, 2018 - academia.edu
Hematology tests are examinations that aim to know the state of blood and its components,
one of which is leukocytes. Hematologic examinations such as the number and morphology …

Brightness and contrast modification in ultrasonography images using edge detection results

R Supriyanti, S Suwitno, Y Ramadhani… - TELKOMNIKA …, 2016 - telkomnika.uad.ac.id
Currently, ultrasonography device become an important equipment for supporting diagnosis
in diesases. Unfortunetaly, a lot of ultrasonography images do not provide enough …

Contour detection of leukocyte cell nucleus using morphological image

R Supriyanti, GP Satrio, Y Ramadhani… - Journal of Physics …, 2017 - iopscience.iop.org
Leukocytes are blood cells that do not contain color pigments. Leukocyte function to the tool
body's defenses. Abnormal forms of leukocytes can be a sign of serious diseases such …