Explainable AI for retinoblastoma diagnosis: interpreting deep learning models with LIME and SHAP

B Aldughayfiq, F Ashfaq, NZ Jhanjhi, M Humayun - Diagnostics, 2023 - mdpi.com
Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt
diagnosis and treatment to prevent vision loss and even death. Deep learning models have …

[Retracted] A Multi‐Thresholding‐Based Discriminative Neural Classifier for Detection of Retinoblastoma Using CNN Models

P Kumar, D Suganthi, K Valarmathi… - BioMed research …, 2023 - Wiley Online Library
Cancer is one of the vital diseases which lead to the uncontrollable growth of the cell, and it
affects the body tissue. A type of cancer that affects the children below five years and adults …

Accurate leukocoria predictor based on deep VGG‐net CNN technique

B Subrahmanyeswara Rao - IET Image Processing, 2020 - Wiley Online Library
The most important part of digital image analysis is object classification. Nowadays, deep
learning makes an enormous achievement in computer vision problems. So there has been …

Hybrid quantum variational autoencoders for representation learning

P Rivas, L Zhao, J Orduz - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Representation learning is a standard area that has seen many improvements based on
machine learning advances. Quantum machine learning advances are now spreading …

Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings

P Rivas-Perea, E Baker, G Hamerly, BF Shaw - BMC ophthalmology, 2014 - Springer
Background Leukocoria is defined as a white reflection and its manifestation is symptomatic
of several ocular pathologies, including retinoblastoma (Rb). Early detection of recurrent …

Identification of retinoblastoma using backpropagation neural network

U Andayani, B Siregar, WE Sandri… - Journal of Physics …, 2019 - iopscience.iop.org
Retinoblastoma (eye cancer) is an eye disease that is usually suffered by children that attack
the thin nerve tissue behind the eyes (the part which is sensitive to light). Retinoblastoma …

Advancing retinoblastoma detection based on binary arithmetic optimization and integrated features

N Alruwais, M Obayya, F Al-Mutiri, M Assiri… - PeerJ Computer …, 2023 - peerj.com
Retinoblastoma, the most prevalent pediatric intraocular malignancy, can cause vision loss
in children and adults worldwide. Adults may develop uveal melanoma. It is a hazardous …

Directly connected convolutional neural networks

Q Wu, Z Gui, S Li, J Ou - … Journal of Pattern Recognition and Artificial …, 2018 - World Scientific
Convolutional neural networks (CNNs) have better performance in feature extraction and
classification. Most of the applications are based on a traditional structure of CNNs …

Implementation of the cnn-svm hybrid model for leukocoria detection

SU Masruroh, MHA Hardy, K Hulliyah… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Retinoblastoma (Rb) is a tumor that is a primary intraocular malignancy of the retina that
generally affects infants and children. The most common symptom of Rb is a white reflection …

Implementasi model hybrid CNN-SVM untuk deteksi leukocoria

MHA Hardy - 2022 - repository.uinjkt.ac.id
Retinoblastoma (Rb) merupakan tumor yang merupakan keganasan intraocular primer
pada retina yang umumnya menyerang bayi dan anak-anak. Gejala Rb yang paling umum …