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A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
[HTML][HTML] SaltGAN: A feature-infused and loss-controlled generative adversarial network with preserved checkpoints for evolving histopathology images
ON Oyelade, H Wang, SA Adewuyi - Biomedical Signal Processing and …, 2024 - Elsevier
The use of natural phenomena as inspiration to address real-life problems has become an
increasingly popular research approach. In the medical domain, generative adversarial …
increasingly popular research approach. In the medical domain, generative adversarial …
Dense Mesh RCNN: assessment of human skin burn and burn depth severity
Accurate assessment and classification of burn severity have gained research interest in
burn management, and delays in treatment increase the risk of human lives. Many research …
burn management, and delays in treatment increase the risk of human lives. Many research …
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis
Wound management poses a significant challenge, particularly for bedridden patients and
the elderly. Accurate diagnostic and healing monitoring can significantly benefit from …
the elderly. Accurate diagnostic and healing monitoring can significantly benefit from …
Addressing fairness and data limitations in dermatological diagnosis through color-invariant representation learning and synthetic data generation
A Pakzad - 2024 - summit.sfu.ca
While deep learning-based approaches have demonstrated expert-level performance in
dermatological diagnosis tasks, they rely on a data-driven learning paradigm that requires …
dermatological diagnosis tasks, they rely on a data-driven learning paradigm that requires …
Representation and synthesis of 3D biomedical visual data
A Sinha - 2024 - summit.sfu.ca
The success of deep learning (DL) on a wide range of computer vision tasks can be
attributed to the availability of large-scale annotated datasets, such as ImageNet and MS …
attributed to the availability of large-scale annotated datasets, such as ImageNet and MS …