Results 191 to 200 of about 2,111,371 (205)

A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation

Comput. Biol. Medicine, 2023
Deep learning-based methods have become the dominant methodology in medical image processing with the advancement of deep learning in natural image classification, detection, and segmentation.
Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Yang Zhou, Feiyu Wang, Wenrui Hu, Xiaolin Zhu, Shijie Luo, Guoyu Tong, Yuan Yao   +9 more
semanticscholar   +1 more source

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation

Medical Image Anal., 2021
Skin lesion segmentation from dermoscopic image is essential for improving the quantitative analysis of melanoma. However, it is still a challenging task due to the large scale variations and irregular shapes of the skin lesions. In addition, the blurred
Huisi Wu, Shih-Wen Chen, Guilian Chen, Wei Wang, Baiying Lei, Zhenkun Wen   +5 more
semanticscholar   +1 more source

Fully transformer network for skin lesion analysis

Medical Image Anal., 2022
Automatic skin lesion analysis in terms of skin lesion segmentation and disease classification is of great importance. However, these two tasks are challenging as skin lesion images of multi-ethnic population are collected using various scanners in ...
Xinzi He, Ee-Leng Tan, Hanwen Bi, Xuzhe Zhang, Shijie Zhao, Baiying Lei   +5 more
semanticscholar   +1 more source

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

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

A GAN-based image synthesis method for skin lesion classification

Comput. Methods Programs Biomed., 2020
BACKGROUND AND OBJECTIVE There are many types of skin cancer, and melanoma is the most lethal one. Dermoscopy is an important imaging technique to screen melanoma and other skin lesions.
Zhiwei Qin, Zhao Liu, P. Zhu, Yongbo Xue
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

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

Artificial Intelligence Review, 2020
A. Adegun, Serestina Viriri
semanticscholar   +1 more source

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance

IEEE Transactions on Medical Imaging, 2017
Yading Yuan, M. Chao, Y. Lo
semanticscholar   +1 more source

Decreased lesion formation in CCR2−/− mice reveals a role for chemokines in the initiation of atherosclerosis

Nature, 1998
L. Boring, J. Gosling, Michael D. Cleary, I. Charo   +3 more
semanticscholar   +1 more source