To relieve such a burden for a landmark detection task, we explore the feasibility of using only a single annotated image and propose a novel framework named Cascade Comparing to Detect (CC2D) for one-shot landmark detection. CC2D consists of two stages: 1) Self-supervised learning (CC2D-...
The success of deep learning methods relies on the availability of a large number of datasets with annotations; however, curating such datasets is burdensome, especially for medical images. To relieve such a burden for a landmark detection task, we explore the feasibility of using only a single...
The success of deep learning methods relies on the availability of a large number of datasets with annotations; however, curating such datasets is burdensome, especially for medical images. To relieve such a burden for a landmark detection task, we explore the feasibility of using only a single...
Hash is a popular form of cannabis concentrate that is gaining popularity among recreational and medical cannabis users in Canada. At the beginning of January 2023, Canada boasted a totalContinue reading Talcum Powder and Cancer: An Alarming Connection That Demands Your Attention ...
Since this ruling, 32 states, Washington D.C., and Puerto Rico have made moves to enact similar legislation and approval for comprehensive public medical marijuana and cannabis programs. [Pictured: A person holds a cannabis plant.] 1997: Taxpayer Relief Act mark reinstein // Shutterstock 1997: ...
Dina Katabi, Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science. Photo credit: © Lillie Paquette David Sontag, Hermann L. F. von Helmholtz Career Development Professor in the Institute for Medical Engineering and Science (IMES) and Associate Professor in the Department...
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As an important upstream task for many medical applications, supervised landmark localization still requires non-negligible annotation costs to achieve desirable performance. Besides, due to cumbersome collection procedures, the limited size of medical l
affective computing; performing natural language processing and understanding; object recognition and computer vision; robotic locomotion; playing games; optimization and metaheuristics; detecting network intrusions; medical diagnosis and monitoring; or predicting when an asset, such as a machine, will need ...
Landmarks detection in a medical image is a mainstay for many clinical algorithms application. Learning-based landmarks detection is now a major successful methodology for many types of objects detection. However, learningbased approaches usually need a number of the annotated dataset for training ...