-
公开(公告)号：US20190147594A1
公开(公告)日：2019-05-16
申请号：US16247798
申请日：2019-01-15
CPC分类号： G06T7/0012 , G06K9/4642 , G06K9/6212 , G06K2209/05 , G06T7/0016 , G06T7/73 , G06T2207/10016 , G06T2207/10024 , G06T2207/20081 , G06T2207/30088 , G06T2207/30096
摘要： A method for image analysis comprises receiving one or more images of a plurality of lesions captured from a body of a person, extracting one or more features of the plurality of lesions from the one or more images, analyzing the extracted one or more features, wherein the analyzing comprises determining a distance between at least two lesions with respect to the extracted one or more features, and determining whether any of the plurality of lesions is an outlier based on the analyzing.
-
公开(公告)号：US20180122065A1
公开(公告)日：2018-05-03
申请号：US15336293
申请日：2016-10-27
CPC分类号： G06T7/0012 , G06K9/4642 , G06K9/6212 , G06K2209/05 , G06T7/73 , G06T2207/20081 , G06T2207/30096
摘要： A method for image analysis comprises receiving one or more images of a plurality of lesions captured from a body of a person, extracting one or more features of the plurality of lesions from the one or more images, analyzing the extracted one or more features, wherein the analyzing comprises determining a distance between at least two lesions with respect to the extracted one or more features, and determining whether any of the plurality of lesions is an outlier based on the analyzing.
-
公开(公告)号：US10586330B2
公开(公告)日：2020-03-10
申请号：US16247798
申请日：2019-01-15
摘要： A method for image analysis comprises receiving one or more images of a plurality of lesions captured from a body of a person, extracting one or more features of the plurality of lesions from the one or more images, analyzing the extracted one or more features, wherein the analyzing comprises determining a distance between at least two lesions with respect to the extracted one or more features, and determining whether any of the plurality of lesions is an outlier based on the analyzing.
-
公开(公告)号：US10242442B2
公开(公告)日：2019-03-26
申请号：US15336293
申请日：2016-10-27
摘要： A method for image analysis comprises receiving one or more images of a plurality of lesions captured from a body of a person, extracting one or more features of the plurality of lesions from the one or more images, analyzing the extracted one or more features, wherein the analyzing comprises determining a distance between at least two lesions with respect to the extracted one or more features, and determining whether any of the plurality of lesions is an outlier based on the analyzing.
-
公开(公告)号：US10282843B2
公开(公告)日：2019-05-07
申请号：US15336347
申请日：2016-10-27
摘要： A method for image analysis comprises receiving one or more current images of a lesion from a body of a person, wherein the one or more current images are electronically captured by and transmitted from a capture device, and analyzing the one or more current images, wherein the analyzing comprises performing image processing to compare the one or more current images captured at a first time to one or more previous images of the lesion captured at a second time prior to the first time, and determining at least one difference between the one or more current images and the one or more previous images based on the comparing. The method further comprises determining a probability that the lesion will become diseased based on the analysis, and recommending a time for a future image capture of the lesion and/or a consultation with a practitioner based on the determined probability.
-
6.发明申请公开(公告)号：US20180122076A1
公开(公告)日：2018-05-03
申请号：US15336347
申请日：2016-10-27
CPC分类号： G06T7/0016 , A61B5/0002 , A61B5/0077 , A61B5/444 , A61B5/6898 , A61B5/7267 , A61B2576/02 , G06T3/0068 , G06T2207/10004 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30096 , G16H50/00
摘要： A method for image analysis comprises receiving one or more current images of a lesion from a body of a person, wherein the one or more current images are electronically captured by and transmitted from a capture device, and analyzing the one or more current images, wherein the analyzing comprises performing image processing to compare the one or more current images captured at a first time to one or more previous images of the lesion captured at a second time prior to the first time, and determining at least one difference between the one or more current images and the one or more previous images based on the comparing. The method further comprises determining a probability that the lesion will become diseased based on the analysis, and recommending a time for a future image capture of the lesion and/or a consultation with a practitioner based on the determined probability.
-
7.发明申请公开(公告)号：US20190278830A1
公开(公告)日：2019-09-12
申请号：US16426312
申请日：2019-05-30
发明人： Mani Abedini , Thomas Charles Conway , Fatemeh Jalali , Fang Lu , Lenin Mehedy , Shaila Pervin
IPC分类号： G06F17/21 , H04L29/08 , G06F16/9038
摘要： A result format modifying method, system, and non-transitory computer readable medium, include extracting, from a database including a plurality of display format types of a search result of a search conducted by a user, the plurality of display format types of the search result conducted by the user, and deciding a display format of the plurality of display format types to output to the user based on a time interval between a current time and the start time of the user's next activity as determined by the determining, where the display format of the search result to the user corresponds to a delivery that is digestible by the user within a specific length of a time interval out of a first time interval and a second time interval, the first time interval being longer than the second time interval.
-
8.发明授权Machine training and search engine for providing specialized cognitive healthcare apparatus 有权机器培训和搜索引擎，提供专业的认知保健设备公开(公告)号：US09424532B1
公开(公告)日：2016-08-23
申请号：US14976573
申请日：2015-12-21
CPC分类号： G16H50/20 , G06F17/30864 , G06F19/00 , G06N99/005 , G06Q50/01 , G16H10/60
摘要： Training a machine to provide specialized health care apparatus may include receiving text describing a user's health condition via a user interface. Text may be converted into corresponding medical terms. A database may be searched for a list of health care providers treating health conditions associated with the medical terms. A machine learning model may be built that may include user preference for a predefined set of features associated with the user's health condition and health care provider preference for the predefined set of features in treating the user's health condition. The machine learning model may predict one or more of the health care providers that provide treatment for the user's health condition that matches the user's preference. The machine learning model may be retrained based on one or more of feedback from the user, the health care providers, and updated traits of the users and the health care providers.
摘要翻译： 培训机器以提供专门的保健设备可以包括通过用户界面接收描述用户健康状况的文本。 文本可以转换成相应的医学术语。 可以搜索数据库以查找与医疗术语相关联的健康状况的医疗保健提供者的列表。 可以构建机器学习模型，其可以包括用户偏好与用户的健康状况相关联的预定义的特征集合，以及在治疗用户的健康状况时预定义的一组特征的医疗保健提供者偏好。 机器学习模型可以预测一个或多个医疗保健提供者为用户的健康状况提供与用户偏好相匹配的治疗。 可以基于来自用户，医疗保健提供者以及用户和医疗保健提供者的更新特征的一个或多个反馈来重新训练机器学习模型。
-
公开(公告)号：US11228549B2
公开(公告)日：2022-01-18
申请号：US15488100
申请日：2017-04-14
发明人： Mani Abedini , Fang Lu , Lenin Mehedy , Shaila Pervin
摘要： At a sending electronic device, from a remote location, an indication is received of an environment at a receiving mobile electronic device to which the sending electronic device is to send a message. It is determined how to send the message from the sending electronic device to the receiving mobile electronic device, based on the indication of the environment at the receiving mobile electronic device. The message is sent from the sending electronic device to the receiving mobile electronic device in accordance with the determining step.
-
10.发明授权公开(公告)号：US10692013B2
公开(公告)日：2020-06-23
申请号：US15175620
申请日：2016-06-07
摘要： Solar irradiation may be predicted based on input terrestrial sky images comprising cloud images, the terrestrial sky images taken from a plurality of geographic locations by a plurality of devices; for example, wherein the terrestrial sky images are crowd sourced from the plurality of devices. A model may be generated that predicts solar irradiation in a geographic area based on the input terrestrial sky images and the geographic locations from where the terrestrial sky images were taken. A signal representing the solar irradiation predicted by the model is output.
-
-
-
-
-
-
-
-
-
搜索结果
38 条记录 (耗时 0.022 秒)
