Melanoma skin cancer identification with explainability utilizing mask guided technique

L Gamage, U Isuranga, D Meedeniya, S De Silva… - Electronics, 2024 - mdpi.com
Melanoma is a highly prevalent and lethal form of skin cancer, which has a significant impact
globally. The chances of recovery for melanoma patients substantially improve with early …

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image-and Signal-Based Studies

MH Akpinar, A Sengur, M Salvi, S Seoni… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial
intelligence, particularly for unsupervised learning. This systematic review analyzes GAN …

Skin cancer identification utilizing deep learning: A survey

D Meedeniya, S De Silva, L Gamage… - IET Image …, 2024 - Wiley Online Library
Melanoma, a highly prevalent and lethal form of skin cancer, has a significant impact
globally. The chances of recovery for melanoma patients substantially improve with early …

Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers

VK Velpula, D Sharma, LD Sharma, A Roy… - IET Image …, 2024 - Wiley Online Library
Glaucoma is an eye disease that damages the optic nerve as a result of vision loss, it is the
leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual …

Glaucoma diagnosis from fundus images using modified Gauss-Kuzmin-distribution-based Gabor features in 2D-FAWT

RK Patel, SS Chouhan, HS Lamkuche… - Computers and Electrical …, 2024 - Elsevier
Purpose Glaucoma is an eye disease that can result in perpetual eye vision loss if not
perceived and treated in time. Therefore, an accurate and efficient automated method has …

[HTML][HTML] Optimizing Glaucoma Diagnosis with Deep Learning-Based Segmentation and Classification of Retinal Images

NA Alkhaldi, RE Alabdulathim - Applied Sciences, 2024 - mdpi.com
Glaucoma, a leading cause of permanent blindness worldwide, necessitates early detection
to prevent vision loss, a task that is challenging and time-consuming when performed …

Multi-GlaucNet: A multi-task model for optic disc segmentation, blood vessel segmentation and glaucoma detection

H **ong, F Long, MS Alam, J Sang - Biomedical Signal Processing and …, 2025 - Elsevier
Glaucoma is a common and severe ocular disease that often leads to vision loss. The
information on the optic disc (OD) and blood vessels in fundus images can significantly aid …

[HTML][HTML] Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2

I Govindharaj, D Santhakumar, K Pugazharasi… - MethodsX, 2025 - Elsevier
The disease affects the optic nerve and represents the principle reasons of irreversible
vision loss, mostly asymptomatic and uncontrolled. Consequently, early and accurate …

Advancing ovarian cancer diagnosis through deep learning and explainable AI: A multiclassification approach

M Radhakrishnan, N Sampathila, H Muralikrishna… - IEEE …, 2024 - ieeexplore.ieee.org
Ovarian cancer is a dangerous gynaecological malignancy, and the presence of many
subtypes causes significant diagnostic difficulties. In general, the high accuracy of …

[HTML][HTML] Glaucoma detection from retinal fundus images using graph convolution based multi-task model

S Lenka, MZ Lazarus, G Panda - e-Prime-Advances in Electrical …, 2025 - Elsevier
Glaucoma is an abnormality in the eye condition that, if not treated within a safe time limit,
can result in visual loss. Glaucoma diagnosis requires professionals to identify minor …