𝗗𝗮𝘆-𝟭𝟬𝟱 Computer Vision Learning 𝗩𝗼𝘅𝗥𝗲𝘀𝗡𝗲𝘁— Deep Voxelwise Residual Networks for Volumetric Brain Segmentation (Biomedical Image Segmentation) by The Chinese University of Hong Kong (CUHK), The Hong Kong Polytechnic University (PolyU), and Chinese Academy of Sciences (Shenzhen) Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in 2018 JNeuroImage with over 45 citations. 🔸 First place in the MICCAI MRBrainS challenge leaderboard out of 37 competitors ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://bit.ly/32ezHMX Code : https://bit.ly/3e51vcf ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 It is built with 25 layers, and hence can generate more representative features to deal with the large variations of brain tissues. 🔸 Multi-modality and multi-level contextual information are integrated into the network, so that the complementary information of different modalities can be harnessed and features of different scales can be exploited. #computervision #artificialintelligence #deeplearning
🔸 The segmentation performance is further improved by combining the low-level image appearance features, implicit shape information, and high-level context together. For previous post visit this github : https://github.com/ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post