Results 201 to 210 of about 7,273 (258)

Learning-based segmentation of diffusion-weighted MR images with arbitrary <i>q</i>-space samplings. [PDF]

Imaging Neurosci (Camb)
Ewert C, Kügler D, Reuter M.
europepmc   +1 more source

Effective transfer of tumor annotations from hematoxylin and eosin to fluorescence images of breast and lung tissues. [PDF]

J Biomed Opt
Niu T, Ampo E, Jorns JM, Patton M, Lu T, Ye DH, Yen TWF, Yu B.   +7 more
europepmc   +1 more source

Predicting the Effort Required to Manually Mend Auto-Segmentations. [PDF]

IEEE J Biomed Health Inform
He D, Tong Y, Torigian DA, Udupa JK.
europepmc   +1 more source

3D Deep Learning for Brain Tumor Segmentation and Survival Prediction: A Comprehensive Multi-Modal Analysis Using the BraTS2020 Dataset. [PDF]

J Imaging
Sanker V, Mahesh D, Li Z, Thaller A, Heesen P, Liverani L, Wang D, Cavagnaro MJ, Medikonda RT, Prolo L, Singh H, Ratliff J, Desai A.   +12 more
europepmc   +1 more source

Impact of Simulated Radiation Dose Reduction on Deep Learning-Based Renal Segmentation Performance: A Simulation Study Using the KiTS21 (2021 Kidney and Kidney Tumor Segmentation Challenge) Dataset. [PDF]

Int Neurourol J
Kim JS, Eun SJ.
europepmc   +1 more source

Uncertainty-guided test-time optimization for personalizing segmentation models in longitudinal medical imaging. [PDF]

Med Phys
Chun J, Castelo A, Woodland M, O'Connor C, Taie MA, Eltaher M, Gupta A, Daoud B, Ding S, Bennett J, Maitra A, Firpo MA, Kirkwood K, Koay EJ, Brock KK.   +14 more
europepmc   +1 more source

Method for accessing zygomatic-maxillary complex symmetry: Mirroring, transposing, and calculating Hausdorff distance. [PDF]

J Chin Med Assoc
Wang TH, Shih YC, Yu WC, Chen WM, Wang SJ.   +4 more
europepmc   +1 more source

Transformer-based cardiac substructure segmentation from contrast and non-contrast computed tomography for radiotherapy planning. [PDF]

Phys Imaging Radiat Oncol
Rangnekar A, Mankuzhy N, Willmann J, Seo Choi CM, Wu A, Thor M, Rimner A, Veeraraghavan H.   +7 more
europepmc   +1 more source

Class-balanced dermoscopic lesion segmentation using MoG-LISA and optimized Swin-UNet via the GM-FDE framework. [PDF]

iScience
Muthamil Selvan S, Kavitha R.
europepmc   +1 more source