Results 311 to 320 of about 3,826,952 (368)

Lesion-Aware Transformers for Diabetic Retinopathy Grading

Computer Vision and Pattern Recognition, 2021
Diabetic retinopathy (DR) is the leading cause of permanent blindness in the working-age population. And automatic DR diagnosis can assist ophthalmologists to design tailored treatments for patients, including DR grading and lesion discovery.
Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang   +5 more
semanticscholar   +1 more source

Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets

IEEE journal of biomedical and health informatics, 2019
We propose a multitask deep convolutional neural network, trained on multimodal data (clinical and dermoscopic images, and patient metadata), to classify the 7-point melanoma checklist criteria and perform skin lesion diagnosis.
J. Kawahara, Sara Daneshvar, G. Argenziano, G. Hamarneh   +3 more
semanticscholar   +1 more source

Blue Lesions

Dermatologic Clinics, 2013
Blue color is found in a wide range of malignant and benign melanocytic and nonmelanocytic lesions and in lesions that result from penetration of exogenous materials, such as radiation or amalgam tattoo or traumatic penetration of particles. Discriminating between different diagnostic entities that display blue color relies on careful patient ...
LONGO, Caterina, Scope, Alon, Lallas, Aimilios, Zalaudek, Iris, MOSCARELLA, ELVIRA, GARDINI, Stefano, ARGENZIANO, GIUSEPPE, PELLACANI, Giovanni   +7 more
openaire   +5 more sources

Attention Residual Learning for Skin Lesion Classification

IEEE Transactions on Medical Imaging, 2019
Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnostic performance and reduce melanoma deaths.
Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen   +3 more
semanticscholar   +1 more source

Pink Lesions

Dermatologic Clinics, 2013
Dermoscopy (dermatoscopy or surface microscopy) is an ancillary dermatologic tool that in experienced hands can improve the accuracy of diagnosis of a variety of benign and malignant pigmented skin tumors. The early and more accurate diagnosis of nonpigmented, or pink, tumors can also be assisted by dermoscopy.
Giacomel, Jason, Zalaudek, Iris
openaire   +3 more sources

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016
Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems.
P. Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, S. Tatavarty, Marc Bickel, Patrick Bilic, M. Rempfler, M. Armbruster, Felix O. Hofmann, M. D’Anastasi, W. Sommer, Seyed-Ahmad Ahmadi, Bjoern H Menze   +12 more
semanticscholar   +1 more source

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

Information Processing in Medical Imaging, 2019
Automated brain lesion segmentation provides valuable information for the analysis and intervention of patients. In particular, methods that are based on convolutional neural networks (CNNs) have achieved state-of-the-art segmentation performance ...
Wenhui Cui, Yanling Liu, Yuxing Li, Meng-Hao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye   +8 more
semanticscholar   +1 more source

Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

IEEE Transactions on Medical Imaging, 2019
Automatic and accurate classification of retinal optical coherence tomography (OCT) images is essential to assist ophthalmologist in the diagnosis and grading of macular diseases.
Leyuan Fang, Chong Wang, Shutao Li, H. Rabbani, Xiangdong Chen, Zhimin Liu   +5 more
semanticscholar   +1 more source

Lesions of the Jaw

Seminars in Ultrasound, CT and MRI, 2015
Imaging of lesions within the maxilla and mandible is often fraught with difficulty owing to the similarity in the imaging appearance of a diverse array of pathological processes. Principally, lesions arise from either odontogenic sources or from primary bone lesions.
openaire   +2 more sources

Dense Deconvolutional Network for Skin Lesion Segmentation

IEEE journal of biomedical and health informatics, 2019
Automatic delineation of skin lesion contours from dermoscopy images is a basic step in the process of diagnosis and treatment of skin lesions. However, it is a challenging task due to the high variation of appearances and sizes of skin lesions. In order
Hang Li, Xinzi He, Feng Zhou, Zhen Yu, Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei   +7 more
semanticscholar   +1 more source