Dataset Groups Activity Stream V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation The V-Net is a deep learning model for medical image segmentation that uses a U-Net architecture. BibTex: @dataset{Fausto_Milletari_and_Nassir_Navab_and_Seyed-Ahmad_Ahmadi_2024, abstract = {The V-Net is a deep learning model for medical image segmentation that uses a U-Net architecture.}, author = {Fausto Milletari and Nassir Navab and Seyed-Ahmad Ahmadi}, doi = {10.57702/obon8yms}, institution = {No Organization}, keyword = {'MRI', 'Medical Image Analysis', 'Prostate Segmentation', 'U-Net', 'V-Net', 'medical image segmentation'}, month = {dec}, publisher = {TIB}, title = {V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation}, url = {https://service.tib.eu/ldmservice/dataset/v-net--fully-convolutional-neural-networks-for-volumetric-medical-image-segmentation}, year = {2024} }
