[HTML][HTML] Transformers in medical image analysis
Transformers have dominated the field of natural language processing and have recently
made an impact in the area of computer vision. In the field of medical image analysis …
made an impact in the area of computer vision. In the field of medical image analysis …
[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
Skin cancer classification with deep learning: a systematic review
Skin cancer is one of the most dangerous diseases in the world. Correctly classifying skin
lesions at an early stage could aid clinical decision-making by providing an accurate …
lesions at an early stage could aid clinical decision-making by providing an accurate …
Vision transformers for computational histopathology
Computational histopathology is focused on the automatic analysis of rich phenotypic
information contained in gigabyte whole slide images, aiming at providing cancer patients …
information contained in gigabyte whole slide images, aiming at providing cancer patients …
Consistency and adversarial semi-supervised learning for medical image segmentation
Medical image segmentation based on deep learning has made enormous progress in
recent years. However, the performance of existing methods generally heavily relies on a …
recent years. However, the performance of existing methods generally heavily relies on a …
AES-CSFS: an automatic evaluation system for corneal sodium fluorescein staining based on deep learning
Background: Corneal fluorescein sodium staining is a valuable diagnostic method for
various ocular surface diseases. However, the examination results are highly dependent on …
various ocular surface diseases. However, the examination results are highly dependent on …
MaMfi-Net: Multi-attention and multi-feature interaction network in skin lesion segmentation
L Yang, C Fan, H Lin, Y Qiu - Biomedical Signal Processing and Control, 2024 - Elsevier
Segmenting skin lesions from dermoscopic images accurately and reliably is essential for
disease diagnosis and treatment. However, because lesions vary in size, shape, and color, it …
disease diagnosis and treatment. However, because lesions vary in size, shape, and color, it …
Computer-Aided Classification of Melanoma: A Comprehensive Survey
U Sharma, P Aggarwal, A Mittal - Archives of Computational Methods in …, 2024 - Springer
The prevalence of skin cancer has been increasing for the last few decades. Abnormal
growth of cells forms skin lesions, which if not treated at the earliest, may turn into cancer …
growth of cells forms skin lesions, which if not treated at the earliest, may turn into cancer …
A skin lesion classification method based on expanding the surrounding lesion-shaped border for an end-to-end inception-ResNet-V2 classifier
R Dakhli, W Barhoumi - Signal, Image and Video Processing, 2023 - Springer
The latest computer vision and machine learning technologies have introduced various
computer-aided diagnosis (CAD) systems to automate the early diagnosis of skin lesions …
computer-aided diagnosis (CAD) systems to automate the early diagnosis of skin lesions …
[PDF][PDF] Neutrosophic C-Means Clustering with Optimal Machine Learning Enabled Skin Lesion Segmentation and Classification
F Taher, A Abdelaziz - International Journal of Neutrosophic …, 2022 - novaresearch.unl.pt
Early detection and classification of skin lesions using dermoscopic images have attracted
significant attention in the healthcare sector. Automated skin lesion segmentation becomes …
significant attention in the healthcare sector. Automated skin lesion segmentation becomes …