Reinforcement learning (RL) is a machine-learning method in which one agent or a group of agents maximises its long-term return through repeated interaction with its environment. Agents are not told what actions to take and must learn their optimal behaviour via trial-and-error. Since rewards m...
The application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free survival (DFS) in stage I–III melanoma patients is crucial ...
The future of machine learning in medicine is unlikely to involve substituting machines for physicians, but instead will involve physician–machine partnerships where domain-specific interfaces built on top of machine learning models may support clinical expertise in providing more accurate diagnoses for pa...
Anderson T, Patterson C, McClintock A, McCarrick S, Song X, The Psychotherapy and Interpersonal Lab Team. Facilitative Interpersonal Skills Task and Rating Manual. Unpublished Rating Manual: Ohio University, Athens, Ohio.; 2018. Google Scholar Anderson BMO, Weis A. Creative use of interpersonal...
Anna E. WindleUniversity of Maryland Center for Environmental Science Horn Point Laboratory 2020 Horns Point Rd Cambridge Maryland21613David W. JohnstonDivision of Marine Science and Conservation Nicholas School of the Environment Duke University Marine Laboratory 135 Duke Marine Lab Rd. Beaufort North ...
(Fig.4 g; Additional file1: Fig. S9D, “Methods” section). As expected, these unassigned cells could be re-clustered close to DCs or NKCs after manual subgrouping (Fig.4h). Together, these results highlight the advantage of transcript-level analysis offered by SCAPTURE in single-cell...
divide and conquer, its simply all psychological projection direct from the CIA and MI5 manual’s. That which the US and western powers blame Russia for is actually that which they are conducting themselves. As I stated previously, it is all smoke and mirrors. It is Russia that has led ...
which may overestimate human consistency as compared to purely manual segmentation. These findings suggest that AIMOS is indeed capable of learning the individual interpretation of a given annotator (here: annotator #1) and that a second, independent annotation is needed to assess the generalization per...
Because of the high performance of this classifier, it can be used to partially automate one of our manual data curation tasks, i.e., identifying acceptable images on social media. More importantly, when confronted with over one million PubMed articles, we apply this classifier to filter out ...
Software packages and numerical atlases dedicated to DB study are scant. They derive from manual contouring such as AAL3, merged atlases such as the CIT 168 atlas4, the CONN atlas5and the Brainnetome6, or complex merged methods such as the Multi-contrast PD25 atlas7and PD1268. In functional...