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Melanoma skin cancer identification with explainability utilizing mask guided technique
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 …
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
Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial
intelligence, particularly for unsupervised learning. This systematic review analyzes GAN …
intelligence, particularly for unsupervised learning. This systematic review analyzes GAN …
Skin cancer identification utilizing deep learning: A survey
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 …
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
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 …
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
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 …
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 …
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 …
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
The disease affects the optic nerve and represents the principle reasons of irreversible
vision loss, mostly asymptomatic and uncontrolled. Consequently, early and accurate …
vision loss, mostly asymptomatic and uncontrolled. Consequently, early and accurate …
Advancing ovarian cancer diagnosis through deep learning and explainable AI: A multiclassification approach
Ovarian cancer is a dangerous gynaecological malignancy, and the presence of many
subtypes causes significant diagnostic difficulties. In general, the high accuracy of …
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
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 …
can result in visual loss. Glaucoma diagnosis requires professionals to identify minor …