Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟬𝟳 Computer Vision Learning 𝗛-𝗗𝗲𝗻𝘀𝗲𝗨𝗡𝗲𝘁 — 2D & 3D 𝗗𝗲𝗻𝘀𝗲𝗨𝗡𝗲𝘁 for Intra & Inter Slice Features (Biomedical Image Segmentation) by The Chinese University of Hong Kong (CUHK) Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in 2018 TMI with over 595 citations. 🔸 Outperforms U-Net, Ranked the 1st on Lesion Segmentation. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eu99_6D Code : https://lnkd.in/e9ttFUf ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸It consists of a 2D DenseUNet for efficiently extracting intra-slice features and a 3D counterpart for hierarchically aggregating volumetric contexts under the spirit of the auto-context algorithm for liver and tumor segmentation. 🔸It is formulated in an end-to-end manner, where the intra-slice representations and inter-slice features can be jointly optimized through a hybrid feature fusion (HFF) layer. #computervision #artificialintelligence #deeplearning