Blar i HVL Open på forfatter "Kaliyugarasan, Sathiesh Kumar"
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Deep learning in medical image analysis: Efficient use of data and radiological expertise
Kaliyugarasan, Sathiesh Kumar (Doctoral thesis, 2023)Deep learning (DL), a branch of artificial intelligence (AI), has experienced significant growth and advancements over the past decade and has shown great potential in various sectors, including the medical domain. The ... -
fastMONAI: A low-code deep learning library for medical image analysis
Kaliyugarasan, Sathiesh Kumar; Lundervold, Alexander Selvikvåg (Peer reviewed; Journal article, 2023)We introduce fastMONAI, an open-source Python-based deep learning library for 3D medical imaging. Drawing upon the strengths of fastai, MONAI, and TorchIO, fastMONAI simplifies the use of advanced techniques for tasks like ... -
Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer
Hodneland, Erlend; Kaliyugarasan, Sathiesh Kumar; Wagner-Larsen, Kari Strøno; Lura, Njål Gjærde; Andersen, Erling; Bartsch, Hauke; Smit, Noeska Natasja; Halle, Mari Kyllesø; Krakstad, Camilla; Lundervold, Alexander Selvikvåg; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2022)Uterine cervical cancer (CC) is the most common gynecologic malignancy worldwide. Whole-volume radiomic profiling from pelvic MRI may yield prognostic markers for tailoring treatment in CC. However, radiomic profiling ... -
Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI
Kaliyugarasan, Sathiesh Kumar; Lundervold, Arvid; Lundervold, Alexander Selvikvåg (Peer reviewed; Journal article, 2021)We construct a convolutional neural network to classify pulmonary nodules as malignant or benign in the context of lung cancer. To construct and train our model, we use our novel extension of the fastai deep learning ...