Data-driven color augmentation techniques for deep skin image analysis
Dermoscopic skin images are often obtained with different imaging devices, under varying
acquisition conditions. In this work, instead of attempting to perform intensity and color …
acquisition conditions. In this work, instead of attempting to perform intensity and color …
Leveraging adaptive color augmentation in convolutional neural networks for deep skin lesion segmentation
Fully automatic detection of skin lesions in dermatoscopic images can facilitate early
diagnosis and repression of malignant melanoma and non-melanoma skin cancer. Although …
diagnosis and repression of malignant melanoma and non-melanoma skin cancer. Although …
[HTML][HTML] Understanding skin color bias in deep learning-based skin lesion segmentation
Background: The field of dermatological image analysis using deep neural networks
includes the semantic segmentation of skin lesions, pivotal for lesion analysis, pathology …
includes the semantic segmentation of skin lesions, pivotal for lesion analysis, pathology …
Illumination-based transformations improve skin lesion segmentation in dermoscopic images
K Abhishek, G Hamarneh… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
The semantic segmentation of skin lesions is an important and common initial task in the
computer aided diagnosis of dermoscopic images. Although deep learning-based …
computer aided diagnosis of dermoscopic images. Although deep learning-based …
Data augmentation for skin lesion analysis
Deep learning models show remarkable results in automated skin lesion analysis. However,
these models demand considerable amounts of data, while the availability of annotated skin …
these models demand considerable amounts of data, while the availability of annotated skin …
The effect of color constancy algorithms on semantic segmentation of skin lesions
With the ever growing occurrences of skin cancer and limited healthcare settings, a reliable
computer assisted diagnostic system is needed to assist the dermatologists for lesion …
computer assisted diagnostic system is needed to assist the dermatologists for lesion …
[PDF][PDF] Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
Y Yuan - arXiv preprint arXiv:1703.05165, 2017 - arxiv.org
arXiv:1703.05165v2 [cs.CV] 28 Sep 2017 Page 1 arXiv:1703.05165v2 [cs.CV] 28 Sep 2017
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks Yading …
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks Yading …
Skin lesion segmentation from dermoscopic images using convolutional neural network
Clinical treatment of skin lesion is primarily dependent on timely detection and delimitation
of lesion boundaries for accurate cancerous region localization. Prevalence of skin cancer is …
of lesion boundaries for accurate cancerous region localization. Prevalence of skin cancer is …
(De) Constructing bias on skin lesion datasets
Melanoma is the deadliest form of skin cancer. Automated skin lesion analysis plays an
important role for early detection. Nowadays, the ISIC Archive and the Atlas of Dermoscopy …
important role for early detection. Nowadays, the ISIC Archive and the Atlas of Dermoscopy …
Generative adversarial networks to segment skin lesions
S Izadi, Z Mirikharaji, J Kawahara… - 2018 IEEE 15Th …, 2018 - ieeexplore.ieee.org
The accuracy of skin lesion segmentation has increased in recent years, thanks to advances
in machine learning techniques and a large influx of dermoscopy images. However, there is …
in machine learning techniques and a large influx of dermoscopy images. However, there is …