Ashish Patel 🇮🇳’s Post

Day-95 Computer Vision Learning 𝗩-𝗡𝗲𝘁 — Volumetric Convolution (Biomedical Image Segmentation) Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in 2016 3DV with over 3171 citations. 🔸 Fully Convolutional Networks for Volumetric Medical Image Segmentation ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eEXbewA Code: https://lnkd.in/e7bvT2C ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸Most medical data used in clinical practice consists of 3D volumes, such as MRI volumes depicting prostate, while most approaches are only able to process 2D images. 3D image segmentation based on a volumetric, fully convolutional neural network is proposed in this work. 🔸Annotated medical volumes are not easy. Experts are required for annotation, which yields a high cost. Automatic segmentation can help to reduce the cost. #computervision #artificialintelligence #deeplearning