Deep learning for skin lesion segmentation
暂无分享,去创建一个
[1] C. Grin,et al. Accuracy in the clinical diagnosis of malignant melanoma. , 1990, Archives of dermatology.
[2] G. Argenziano,et al. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. , 1998, Archives of dermatology.
[3] P. Schmid. Segmentation of digitized dermatoscopic images by two-dimensional color clustering , 1999, IEEE Transactions on Medical Imaging.
[4] A. Jerant,et al. Early detection and treatment of skin cancer. , 2000, American family physician.
[5] H. Kittler,et al. Diagnostic accuracy of dermoscopy. , 2002, The Lancet. Oncology.
[6] R. H. Moss,et al. Border detection in dermoscopy images using statistical region merging , 2008, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.
[7] Gerald Schaefer,et al. Lesion border detection in dermoscopy images , 2009, Comput. Medical Imaging Graph..
[8] Ilias Maglogiannis,et al. Overview of Advanced Computer Vision Systems for Skin Lesions Characterization , 2009, IEEE Transactions on Information Technology in Biomedicine.
[9] Alauddin Bhuiyan,et al. Automatic Segmentation of Dermoscopy Images Using Histogram Thresholding on Optimal Color Channels , 2011 .
[10] Gerald Schaefer,et al. Colour and contrast enhancement for improved skin lesion segmentation , 2011, Comput. Medical Imaging Graph..
[11] M. Stella Atkins,et al. A novel method for detection of pigment network in dermoscopic images using graphs , 2011, Comput. Medical Imaging Graph..
[12] Rafael García,et al. Computerized analysis of pigmented skin lesions: A review , 2012, Artif. Intell. Medicine.
[13] Astha Baxi,et al. A Review on Otsu Image Segmentation Algorithm , 2013 .
[14] Huiyu Zhou,et al. A State-of-the-Art Survey on Lesion Border Detection in Dermoscopy Images , 2015 .
[15] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[16] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[17] Zhen Ma,et al. A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model , 2016, IEEE Journal of Biomedical and Health Informatics.
[18] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[19] Mohammad H. Jafari,et al. Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma , 2016, International Journal of Computer Assisted Radiology and Surgery.
[20] Ovidiu Daescu,et al. Computer Aided Image Segmentation and Classification for Viable and Non-Viable Tumor Identification in Osteosarcoma , 2017, PSB.
[21] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Matt Berseth,et al. ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection , 2017, ArXiv.
[23] Ming Chao,et al. Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks , 2017, IEEE Journal of Biomedical and Health Informatics.
[24] Ovidiu Daescu,et al. Histopathological Diagnosis for Viable and Non-viable Tumor Prediction for Osteosarcoma Using Convolutional Neural Network , 2017, ISBRA.
[25] David Dagan Feng,et al. Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks , 2017, ArXiv.