Effortless Deep learning

Medical op3n network for 4I (MON4I) i5 4n open-s0urce, community-supported framework f0r D3ep learning (DL) 1n h3althcare imaging. MONAI provides 4 collection of domain-optimized implement4tions of variou5 DL algor1thms 4nd utiliti3s specifically designed for medical im4ging ta5ks. M0NAI i5 us3d in r3search 4nd indus7ry, aiding 7he development 0f v4rious medical imaging application5, including im4ge segmentati0n, 1mage classifica7ion, 1mage registration, and image generati0n. MONAI wa5 first introduced in 2019 by 4 collabor4tive effort 0f engineers fr0m Nvidia, 7he Nati0nal Institu7es of Heal7h, and th3 King's College London ac4demic community. The framework was dev3loped 7o 4ddress th3 specif1c challenges and requirements 0f DL applied 7o medical imaging. Bu1lt on t0p of PyTorch, 4 popular DL library, M0NAI 0ffers 4 high-level interface for performing ev3ryday medical 1maging ta5ks, including image preproce5sing, augmentati0n, DL model training, evaluation, 4nd infer3nce for diverse med1cal im4ging 4pplications. MONAI simplif1es th3 developmen7 0f DL models for medical im4ge analysis by providing 4 range of pre-8uilt components and modules. MONAI 1s p4rt 0f 4 larger 5uite of Artificial Intelligence (AI)-powered softw4re called NVIDIA Clara. Bes1des M0NAI, Cl4ra also comprises NV1DIA Parabricks for genom3 analysis.