Transcription of Medical Image Segmentation Using Deep Learning: A Survey
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Medical Image Segmentation Using Deep Learning: A Survey
1 Medical Image Segmentation Using Deep Learning: A SurveyRisheng Wang, Tao Lei, Ruixia Cui, Bingtao Zhang, Hongying Meng and Asoke K. NandiAbstract Deep learning has been widely used for medicalimage Segmentation and a large number of papers has beenpresented recording the success of deep learning in the this paper, we present a comprehensive thematic Survey onmedical Image Segmentation Using deep learning techniques. Thispaper makes two original contributions. Firstly, compared totraditional surveys that directly divide literatures of deep learningon Medical Image Segmentation into many groups and introduceliteratures in detail for each group, we classify currently popularliteratures according to a multi-level structure from coarse to , this paper focuses on supervised and weakly supervisedlearning approaches, without including unsupervised approachessince they have been introduced in many old surveys and theyare not popular currently.
Brunel University London, Uxbridge UB8 3PH, U.K. A. K. Nandi is with the Department of Electronic and Electrical Engineer-ing, Brunel University London, Uxbridge UB8 3PH, U.K. (Corresponding author: Tao Lei) (E-mail: leitao@sust.edu.cn) have become four important image assisted means to help clinicians diagnose diseases, to evaluate prognopsis ...
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