Digital hair removal by deep learning for skin lesion segmentation

Medical Image Segmentation based on U-Net: A Review

(2020) Getao Du et al.   JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY

Contextual deconvolution network for semantic segmentation

(2020) Jun Fu et al.   PATTERN RECOGNITION

U2-Net: Going deeper with nested U-structure for salient object detection

(2020) Xuebin Qin et al.   PATTERN RECOGNITION

Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture

(2019) Mohamed Attia et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

(2018) Sameena Pathan et al.   Biomedical Signal Processing and Control

Deep learning for image-based cancer detection and diagnosis − A survey

(2018) Zilong Hu et al.   PATTERN RECOGNITION

No-reference hair occlusion assessment for dermoscopy images based on distribution feature

(2015) Fengying Xie et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An effective hair removal algorithm for dermoscopy images

(2013) Mohammad Taghi Bahreyni Toossi et al.   SKIN RESEARCH AND TECHNOLOGY

Hair removal methods: A comparative study for dermoscopy images

(2011) Qaisar Abbas et al.   Biomedical Signal Processing and Control

E-shaver: An improved DullRazor® for digitally removing dark and light-colored hairs in dermoscopic images

(2011) Kimia Kiani et al.   COMPUTERS IN BIOLOGY AND MEDICINE

PDE-based unsupervised repair of hair-occluded information in dermoscopy images of melanoma

(2009) Feng-Ying Xie et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS