[HTML][HTML] Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …
grows, especially in high-stakes decision making areas such as medical image analysis …
A review on explainable artificial intelligence for healthcare: why, how, and when?
Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …
medicine. Concerns have been raised about the explainability of the decisions that are …
Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review
J Zhang, F Zhong, K He, M Ji, S Li, C Li - Diagnostics, 2023 - mdpi.com
Objective: Skin diseases constitute a widespread health concern, and the application of
machine learning and deep learning algorithms has been instrumental in improving …
machine learning and deep learning algorithms has been instrumental in improving …
Segmenting vitiligo on clinical face images using CNN trained on synthetic and internet images
Accurately diagnosing and describing the severity of vitiligo is crucial for prognostication,
treatment selection and comparison. Currently, disease severity scores require …
treatment selection and comparison. Currently, disease severity scores require …
Bridging the gap between Vitiligo segmentation and clinical scores
Quantitative evaluation of vitiligo is crucial for assessing treatment response. Dermatologists
evaluate vitiligo regularly to adjust their treatment plans, which requires extra work …
evaluate vitiligo regularly to adjust their treatment plans, which requires extra work …
Active learning integrated portable skin lesion detection system based on multimodel fusion
In skin lesion detection systems, a large number of labeled images are usually required to
achieve high segmentation accuracy (ACC), which hinders the effectiveness and timeliness …
achieve high segmentation accuracy (ACC), which hinders the effectiveness and timeliness …
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …
Detection of Vitiligo Through Machine Learning and Computer‐Aided Techniques: A Systematic Review
S Tanvir, SA Syed, S Hussain, R Zia… - BioMed Research …, 2024 - Wiley Online Library
Background and Objective: Vitiligo is a chronic skin damage disease, triggered by
differential melanocyte death. Vitiligo (0.5%–1% of the population) is one of the most severe …
differential melanocyte death. Vitiligo (0.5%–1% of the population) is one of the most severe …
Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Vitiligo, alopecia areata, atopic, and stasis dermatitis are common skin conditions that pose
diagnostic and assessment challenges. Skin image analysis is a promising noninvasive …
diagnostic and assessment challenges. Skin image analysis is a promising noninvasive …
Poisson-based image editing for semi-supervised vitiligo lesion segmentation with limited annotations
J Wang, X Ding, J **ao - Computers in Biology and Medicine, 2023 - Elsevier
Vitiligo lesion segmentation is crucial for the assessment and treatment of vitiligo. There are
two significant challenges in this problem, namely, the availability of dense segmentation …
two significant challenges in this problem, namely, the availability of dense segmentation …