Zobrazeno 1 - 10
of 387
pro vyhledávání: '"Gotway, Michael"'
Humans effortlessly interpret images by parsing them into part-whole hierarchies; deep learning excels in learning multi-level feature spaces, but they often lack explicit coding of part-whole relations, a prominent property of medical imaging. To ov
Externí odkaz:
http://arxiv.org/abs/2404.15672
Self-supervised learning (SSL) approaches have recently shown substantial success in learning visual representations from unannotated images. Compared with photographic images, medical images acquired with the same imaging protocol exhibit high consi
Externí odkaz:
http://arxiv.org/abs/2312.00335
Deep learning nowadays offers expert-level and sometimes even super-expert-level performance, but achieving such performance demands massive annotated data for training (e.g., Google's proprietary CXR Foundation Model (CXR-FM) was trained on 821,544
Externí odkaz:
http://arxiv.org/abs/2310.09507
Human anatomy is the foundation of medical imaging and boasts one striking characteristic: its hierarchy in nature, exhibiting two intrinsic properties: (1) locality: each anatomical structure is morphologically distinct from the others; and (2) comp
Externí odkaz:
http://arxiv.org/abs/2309.15358
Discriminative learning, restorative learning, and adversarial learning have proven beneficial for self-supervised learning schemes in computer vision and medical imaging. Existing efforts, however, omit their synergistic effects on each other in a t
Externí odkaz:
http://arxiv.org/abs/2204.10437
Recently, self-supervised instance discrimination methods have achieved significant success in learning visual representations from unlabeled photographic images. However, given the marked differences between photographic and medical images, the effi
Externí odkaz:
http://arxiv.org/abs/2204.07344
Pulmonary embolism (PE) represents a thrombus ("blood clot"), usually originating from a lower extremity vein, that travels to the blood vessels in the lung, causing vascular obstruction and in some patients, death. This disorder is commonly diagnose
Externí odkaz:
http://arxiv.org/abs/2109.07029
Autor:
Taher, Mohammad Reza Hosseinzadeh, Haghighi, Fatemeh, Feng, Ruibin, Gotway, Michael B., Liang, Jianming
Transfer learning from supervised ImageNet models has been frequently used in medical image analysis. Yet, no large-scale evaluation has been conducted to benchmark the efficacy of newly-developed pre-training techniques for medical image analysis, l
Externí odkaz:
http://arxiv.org/abs/2108.05930
Publikováno v:
In Medical Image Analysis July 2024 95
Publikováno v:
In Medical Image Analysis May 2024 94